Relevant bibliographies by topics / ADAS systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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  5. Conference papers
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Academic literature on the topic 'ADAS systems'

Author: Grafiati
Published: 28 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "ADAS systems"

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Massow, Kay, and Ilja Radusch. "A Rapid Prototyping Environment for Cooperative Advanced Driver Assistance Systems." Journal of Advanced Transportation 2018 (2018): 1–32. http://dx.doi.org/10.1155/2018/2586520.

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Advanced Driver Assistance Systems (ADAS) were strong innovation drivers in recent years, towards the enhancement of traffic safety and efficiency. Today’s ADAS adopt an autonomous approach with all instrumentation and intelligence on board of one vehicle. However, to further enhance their benefit, ADAS need to cooperate in the future, using communication technologies. The resulting combination of vehicle automation and cooperation, for instance, enables solving hazardous situations by a coordinated safety intervention on multiple vehicles at the same point in time. Since the complexity of such cooperative ADAS grows with each vehicle involved, very large parameter spaces need to be regarded during their development, which necessitate novel development approaches. In this paper, we present an environment for rapidly prototyping cooperative ADAS based on vehicle simulation. Its underlying approach is either to bring ideas for cooperative ADAS through the prototyping stage towards plausible candidates for further development or to discard them as quickly as possible. This is enabled by an iterative process of refining and assessment. We reconcile the aspects of automation and cooperation in simulation by a tradeoff between precision and scalability. Reducing precise mapping of vehicle dynamics below the limits of driving dynamics enables simulating multiple vehicles at the same time. In order to validate this precision, we also present a method to validate the vehicle dynamics in simulation against real world vehicles.
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Mahmudur Rahman, Md, Lesley Strawderman, and Daniel W. Carruth. "Effect of Driving Contexts on Driver Acceptance of Advanced Driver Assistance Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1944–48. http://dx.doi.org/10.1177/1541931213601965.

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Advanced Driver Assistance Systems (ADASs) has been developed to enhance driver performance and comfort and improve transportation safety. The potential benefits of these technologies include: reduction in the number of crashes, enhanced vehicle control for drivers, reduced environmental impact, etc. However, for these technologies to achieve their potential, drivers must accept them and use them appropriately in traffic. This study investigated the effect of driving contexts on driver acceptance, more specifically, on the intention to use such technologies. Three contextual factors were considered: drivers’ fatigue level, time pressure, and time of day. Data collection was done using an online survey approach ( n = 386). Results found that fatigue and time pressure significantly affect drivers’ intention to use an ADAS. Results showed that drivers have increased intention to use an ADAS when they are fatigued or when there is no time pressure, as compared to a general driving condition.
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Oviedo-Trespalacios, Oscar, Jennifer Tichon, and Oliver Briant. "Is a flick-through enough? A content analysis of Advanced Driver Assistance Systems (ADAS) user manuals." PLOS ONE 16, no. 6 (June 17, 2021): e0252688. http://dx.doi.org/10.1371/journal.pone.0252688.

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Advanced Driver Assistance Systems (ADAS) are being developed and installed in increasing numbers. Some of the most popular ADAS include blind spot monitoring and cruise control which are fitted in the majority of new vehicles sold in high-income countries. With more drivers having access to these technologies, it is imperative to develop policy and strategies to guarantee the safe uptake of ADAS. One key issue is that ADAS education has been primarily centred on the user manual which are not widely utilised. Moreover, it is unclear if user manuals are an adequate source of education in terms of content and readability. To address this research gap, a content analysis was used to assess the differences in ADAS-related content and readability among the manuals of the highest selling vehicles in Australia. The qualitative findings showed that there are seven themes in the user manuals: differences between driving with and without ADAS, familiarisation requirements, operational limits of the ADAS, potential ADAS errors, behaviour adaptation warnings, confusion warnings, and malfunction warnings. The quantitative analysis found that some of the manuals require several years of education above the recommended for a universal audience (>8 years) to be understood. Additionally, there is a notable number of text diversions and infographics which could make comprehension of the user manual difficult. This investigation shows that there is a lack of standardisation of ADAS user manuals (in both content and delivery of information) which requires regulatory oversight. Driver ADAS education needs to be prioritised by policymakers and practitioners as smart technology continues to increase across the transport system. It seems that current strategies based on user manuals are insufficient to achieve successful adoption and safe use of these technologies.
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Ledezma, Agapito, Víctor Zamora, Óscar Sipele, M. Paz Sesmero, and Araceli Sanchis. "Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems." Electronics 10, no. 12 (June 19, 2021): 1480. http://dx.doi.org/10.3390/electronics10121480.

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Car accidents are one of the top ten causes of death and are produced mainly by driver distractions. ADAS (Advanced Driver Assistance Systems) can warn the driver of dangerous scenarios, improving road safety, and reducing the number of traffic accidents. However, having a system that is continuously sounding alarms can be overwhelming or confusing or both, and can be counterproductive. Using the driver’s attention to build an efficient ADAS is the main contribution of this work. To obtain this “attention value” the use of a Gaze tracking is proposed. Driver’s gaze direction is a crucial factor in understanding fatal distractions, as well as discerning when it is necessary to warn the driver about risks on the road. In this paper, a real-time gaze tracking system is proposed as part of the development of an ADAS that obtains and communicates the driver’s gaze information. The developed ADAS uses gaze information to determine if the drivers are looking to the road with their full attention. This work gives a step ahead in the ADAS based on the driver, building an ADAS that warns the driver only in case of distraction. The gaze tracking system was implemented as a model-based system using a Kinect v2.0 sensor and was adjusted on a set-up environment and tested on a suitable-features driving simulation environment. The average obtained results are promising, having hit ratios between 96.37% and 81.84%.
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Orlovska, J., C. Wickman, and R. Soderberg. "THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEM." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2551–60. http://dx.doi.org/10.1017/dsd.2020.322.

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AbstractAdvanced Driver Assistance Systems (ADAS) require a high level of interaction between the driver and the system, depending on driving context at a particular moment. Context-aware ADAS evaluation based on vehicle data is the most prominent way to assess the complexity of ADAS interactions. In this study, we conducted interviews with the ADAS development team at Volvo Cars to understand the role of vehicle data in the ADAS development and evaluation. The interviews’ analysis reveals strategies for improvement of current practices for vehicle data-driven ADAS evaluation.
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Classen, Sherrilene, Mary Jeghers, Jane Morgan-Daniel, Sandra Winter, Luther King, and Linda Struckmeyer. "Smart In-Vehicle Technologies and Older Drivers: A Scoping Review." OTJR: Occupation, Participation and Health 39, no. 2 (February 22, 2019): 97–107. http://dx.doi.org/10.1177/1539449219830376.

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In-vehicle technologies may decrease crash risk in drivers with age-related declines. Researchers determined the impact of in-vehicle information systems (IVIS) or advanced driving assistance systems (ADAS) on driving. Through a scoping review, the effect of IVIS or ADAS on older drivers’ convenience (i.e., meets one’s needs), comfort (i.e., physical or psychological ease), or safety (i.e., absence of errors or crashes) was examined. Researchers synopsized findings from 28 studies, including driving simulators and on-road environments. Findings indicated that IVIS or ADAS enhanced safety and mitigated age-related declines. Notably, IVIS may reduce cognitive workload, but may jeopardize safety if the systems are overly complicated. The ADAS enhanced safety and comfort by increasing speed control, lane maintenance, and braking responses. However, no studies addressed convenience. In-vehicle technologies may enhance safety and comfort while driving, if one’s cognitive workload is not compromised. Naturalistic studies are needed to elucidate the risks and benefits of IVIS and ADAS for older drivers.
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ENDACHEV, Denis V., Sergey V. BAKHMUTOV, Vladimir V. EVGRAFOV, and Nikolay P. MEZENTCEV. "ELECTRONIC SYSTEMS OF INTELLIGENT VEHICLES." Mechanics of Machines, Mechanisms and Materials 4, no. 53 (December 2020): 5–10. http://dx.doi.org/10.46864/1995-0470-2020-4-53-5-10.

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Modern automotive engineering is closely related to the implementation of information systems. In automobile transport, the range of such developments is considerably wide: from driver assistance systems (ADAS — Advanced Driver Assistance System) to full autopilot systems. The article provides a brief overview of the state of the problem and presents the main directions of development of the State Research Center of the Russian Federation FSUE “NAMI” in the field of ADAS and highly automated (unmanned) vehicles. Descriptions of on-board vehicle systems of a high level of automation are given developed by the State Research Center of the Russian Federation FSUE “NAMI” with the participation of manufacturers. The article also describes the key technologies of machine vision systems, test sites for highly automated vehicles.
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Елисеев, Н. "СИСТЕМЫ ADAS – УДОБСТВО И БЕЗОПАСНОСТЬ." ELECTRONICS: SCIENCE, TECHNOLOGY, BUSINESS 203, no. 2 (March 22, 2021): 102–7. http://dx.doi.org/10.22184/1992-4178.2021.203.2.102.107.

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Рассмотрены усовершенствованные системы помощи водителю (Advanced driver-­assistance systems, ADAS). Приведена информация о структуре и функциях систем ADAS, а также примеры решений, предлагаемых для них рядом ведущих производителей.
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Abraham, Hillary, Bryan Reimer, and Bruce Mehler. "Learning to Use In-Vehicle Technologies: Consumer Preferences and Effects on Understanding." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1589–93. http://dx.doi.org/10.1177/1541931218621359.

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Advanced Driver Assistance Systems (ADAS) have the potential to increase driver safety. However, driver misuse or failure to use ADAS could mitigate potential benefits. Appropriate training is one established method for encouraging proper use of technology. An online survey of 2364 respondents revealed significant differences between utilized and preferred methods for learning to use technologies. Drivers who learned through their preferred methods reported higher understanding and use of in-vehicle systems. Providing readily available methods of learning that align with learning preferences may improve safe use of ADAS.
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van den Beukel, Arie, Cornelie van Driel, Anika Boelhouwer, Nina Veders, and Tobias Heffelaar. "Assessment of Driving Proficiency When Drivers Utilize Assistance Systems—The Case of Adaptive Cruise Control." Safety 7, no. 2 (May 7, 2021): 33. http://dx.doi.org/10.3390/safety7020033.

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Driver assistance systems (ADAS), and especially those containing driving automation, change the role of drivers to supervisors who need to safeguard the system’s operation. Despite the aim to increase safety, the new tasks (supervision and intervention) may jeopardize safety. Consequently, safety officers address the need for specific training on ADAS. However, these tasks are not assessed in driver licensing today. Therefore, we developed a framework to assess in-practice driving proficiency when drivers utilize ADAS. This study evaluated whether the proposed framework is able to identify meaningful differences in driving proficiency between driving with and without assistance. We applied the framework to perform a qualitative assessment of driving proficiency with 12 novice drivers in a field experiment, comparable to a license test. The assistance system concerned Adaptive Cruise Control (ACC). The test showed that driving with ACC has a negative influence on self-initiated manoeuvres (especially lane changes) and sometimes led to improved adaptations to manoeuvres initiated by other road users (like merging in traffic). These results are in line with previous research and demonstrate the framework’s successfulness to assess novice drivers’ proficiency to utilize ADAS in road-traffic. Therewith, the proposed framework provides important means for driving instructors and examiners to address the safe operation of ADAS.
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Dissertations / Theses on the topic "ADAS systems"

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Agha, Jafari Wolde Bahareh. "A systematic Mapping study of ADAS and Autonomous Driving." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42754.

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Nowadays, autonomous driving revolution is getting closer to reality. To achieve the Autonomous driving the first step is to develop the Advanced Driver Assistance System (ADAS). Driver-assistance systems are one of the fastest-growing segments in automotive electronics since already there are many forms of ADAS available. To investigate state of art of development of ADAS towards Autonomous Driving, we develop Systematic Mapping Study (SMS). SMS methodology is used to collect, classify, and analyze the relevant publications. A classification is introduced based on the developments carried out in ADAS towards Autonomous driving. According to SMS methodology, we identified 894 relevant publications about ADAS and its developmental journey toward Autonomous Driving completed from 2012 to 2016. We classify the area of our research under three classifications: technical classifications, research types and research contributions. The related publications are classified under thirty-three technical classifications. This thesis sheds light on a better understanding of the achievements and shortcomings in this area. By evaluating collected results, we answer our seven research questions. The result specifies that most of the publications belong to the Models and Solution Proposal from the research type and contribution. The least number of the publications belong to the Automated…Autonomous driving from the technical classification which indicated the lack of publications in this area.
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Martinez, Leandro Andrade. "Um framework para coprojeto de hardware e software de sistemas avançados de assistência ao motorista baseados em câmeras." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06122017-104613/.

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A demanda por novas tecnologias, melhoria de segurança e conforto para veículos urbanos cresceu consideravelmente nos últimos anos, motivando a indústria na criação de sistemas destinados ao apoio de motoristas (ADAS - Advanced Driver Assistance Systems). Este fato contribuiu para o desenvolvimento de diversos sistemas embarcados na área automobilística destacando-se, à prevenção de colisão a pedestres por veículos. Através do avanço em diversas pesquisas, começaram a circular pelas ruas veículos com sistemas anticolisão e com navegação autônoma. Contudo, para alcançar objetivos cada vez mais desafiadores, os projetistas precisam de ferramentas que permitam unir tecnologias e conhecimentos de áreas distintas de forma eficiente. Nesse contexto, há uma demanda para a construção de sistemas que aumentem o nível de abstração da modelagem de projetos para o processamento de imagens em sistemas embarcados e assim, possibilitando uma melhor exploração do espaço de projetos. A fim de contribuir para minimizar este problema, este trabalho de pesquisa demonstra o desenvolvimento de um framework para coprojeto de hardware e software específico para a construção de sistemas ADAS que utilizam visão computacional. O Framework visa facilitar o desenvolvimento dessas aplicações permitindo a exploração o espaço de projeto (DSE - Design Space Exploration), e assim contribuindo para um ganho de desempenho no desenvolvimento de sistemas embarcados quando comparados à construção totalmente de um modo manual. Uma das características deste projeto é a possibilidade da simulação da aplicação antes da síntese em um sistema reconfigurável. Os principais desafios deste sistema foram relacionados à construção do sistema de intercomunicação entre os diversos blocos de Propriedade Intelectual (IP) e os componentes de software, abstraindo do usuário final inúmeros detalhes de hardware, tais como gerenciamento de memória, interrupções, cache, tipos de dados (ponto flutuante, ponto fixo, inteiros) e etc, possibilitando um sistema mais amigável ao projetista.
The demand for new technologies, enhanced security and comfort for urban cars has grown considerably in recent years prompting the industry to create systems designed to support drivers (ADAS - Advanced Driver Assistance Systems). This fact contributed to the development of many embedded systems in the automotive area among them, the pedestrians collision avoidance. Through the advancement in various research, began circulating through the streets vehicles with anti-collision systems and autonomous navigation. However, to achieve ever more challenging goals, designers need tools to unite technology and expertise from different areas efficiently. In this context, there is a demand for building systems that increase the level of abstraction of models of image processing for use in embedded systems enabling better design space exploration. To help minimize this problem, this research demonstrates a develop a specific framework for hardware/software codesign to build ADAS systems using computer vision. The framework aims to facilitate the development of applications, allowing better explore the design space, and thus contribute to a performance gain in the development of embedded systems in relation to building entirely in hardware. One of the requirements of the project is the possibility of the simulation of an application before synthesis on a reconfigurable system. The main challenges of this system were related to the construction of the intercommunication system between the various Intellectual Property (IP) blocks and the software components, abstracting from the end user numerous hardware details, such as memory management, interruptions, cache, types (Floating point, fixed point, integers) and so on, enabling a more user-friendly system for the designer.
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Mattsson, David. "ADAS : A simulation study comparing two safety improving Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85151.

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Driving is a high-risk adventure which many enjoy on a daily basis. The driving task is highly complex, ever-changing, and one which requires continuous attention and rapid decision making. It is a task that is not without risk, where the cost to reach the desired destination can be too great – your life could be at stake. Driving is not without incidents. Rear-end collision is a common problem in the Swedish traffic environment, with over 100 police-reported individual incidents per year. The amount of rear-end collisions can be hypothetically reduced by introducing new technology in the driver’s vehicle, technology which attempts to improve the driver’s safety driving. This technology is called Advanced Driver Assistance Systems – ADAS. In this study two ADAS were evaluated in a driving simulator study: An Adaptive Cruise Control (ACC) which operates on both hazardous and non-hazardous events, and a Collision Warning System (CWS) which operates solely on non-hazardous events. Both of these ADAS function to guard against risky driving and are based on the assumption that drivers will not act in such a manner that they would willingly reduce the effectiveness of the system. A within-subjects simulation study was conducted where participants drove under three conditions: 1) with an adaptive cruise controller, 2) a frontal rear-end collision warning system ADAS, and 3) unaided, in order to investigate differences between the three driving conditions. Particular focus was on whether the two ADAS improved driving safety. The study results indicate that driving enhanced by the two ADAS made the participating drivers drive less safely.
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Dekkiche, Djamila. "Programming methodologies for ADAS applications in parallel heterogeneous architectures." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS388/document.

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La vision par ordinateur est primordiale pour la compréhension et l’analyse d’une scène routière afin de construire des systèmes d’aide à la conduite (ADAS) plus intelligents. Cependant, l’implémentation de ces systèmes dans un réel environnement automobile et loin d’être simple. En effet, ces applications nécessitent une haute performance de calcul en plus d’une précision algorithmique. Pour répondre à ces exigences, de nouvelles architectures hétérogènes sont apparues. Elles sont composées de plusieurs unités de traitement avec différentes technologies de calcul parallèle: GPU, accélérateurs dédiés, etc. Pour mieux exploiter les performances de ces architectures, différents langages sont nécessaires en fonction du modèle d’exécution parallèle. Dans cette thèse, nous étudions diverses méthodologies de programmation parallèle. Nous utilisons une étude de cas complexe basée sur la stéréo-vision. Nous présentons les caractéristiques et les limites de chaque approche. Nous évaluons ensuite les outils employés principalement en terme de performances de calcul et de difficulté de programmation. Le retour de ce travail de recherche est crucial pour le développement de futurs algorithmes de traitement d’images en adéquation avec les architectures parallèles avec un meilleur compromis entre les performances de calcul, la précision algorithmique et la difficulté de programmation
Computer Vision (CV) is crucial for understanding and analyzing the driving scene to build more intelligent Advanced Driver Assistance Systems (ADAS). However, implementing CV-based ADAS in a real automotive environment is not straightforward. Indeed, CV algorithms combine the challenges of high computing performance and algorithm accuracy. To respond to these requirements, new heterogeneous circuits are developed. They consist of several processing units with different parallel computing technologies as GPU, dedicated accelerators, etc. To better exploit the performances of such architectures, different languages are required depending on the underlying parallel execution model. In this work, we investigate various parallel programming methodologies based on a complex case study of stereo vision. We introduce the relevant features and limitations of each approach. We evaluate the employed programming tools mainly in terms of computation performances and programming productivity. The feedback of this research is crucial for the development of future CV algorithms in adequacy with parallel architectures with a best compromise between computing performance, algorithm accuracy and programming efforts
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Bareiss, Max. "Effectiveness of Intersection Advanced Driver Assistance Systems in Preventing Crashes and Injuries in Left Turn Across Path / Opposite Direction Crashes in the United States." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/96570.

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Intersection crashes represent one-fifth of all police reported traffic crashes and one-sixth of all fatal crashes in the United States each year. Active safety systems have the potential to reduce crashes and injuries across all crash modes by partially or fully controlling the vehicle in the event that a crash is imminent. The objective of this thesis was to evaluate crash and injury reduction in a future United States fleet equipped with intersection advanced driver assistance systems (I-ADAS). In order to evaluate this, injury risk modeling was performed. The dataset used to evaluate injury risk was the National Automotive Sampling System / Crashworthiness Data System (NASS/CDS). An injured occupant was defined as vehicle occupant who experienced an injury of maximum Abbreviated Injury Scale (AIS) of 2 or greater, or who were fatally injured. This was referred to as MAIS2+F injury. Cases were selected in which front-row occupants of late-model vehicles were exposed to a frontal, near-, or far-side crash. Logistic regression was used to develop an injury model with occupant, vehicle, and crash parameters as predictor variables. For the frontal and near-side impact models, New Car Assessment Program (NCAP) test results were used as a predictor variable. This work quantitatively described the injury risk for a wide variety of crash modes, informing effectiveness estimates. This work reconstructed 501 vehicle-to-vehicle left turn across path / opposite direction (LTAP/OD) crashes in the United States which had been originally investigated in NMVCCS. The performance of thirty different I-ADAS system variations was evaluated for each crash. These variations were the combinations of five Time to Collision (TTC) activation thresholds, three latency times, and two different intervention types (automated braking and driver warning). In addition, two sightline assumptions were modeled for each crash: one where the turning vehicle was visible long before the intersection, and one where the turning vehicle was only visible after entering the intersection. For resimulated crashes which were not avoided by I-ADAS, a new crash delta-v was computed for each vehicle. The probability of MAIS2+F injury to each front row occupant was computed. Depending on the system design, sightline assumption, I-ADAS variation, and fleet penetration, an I-ADAS system that automatically applies emergency braking could avoid 18%-84% of all LTAP/OD crashes. An I-ADAS system which applies emergency braking could prevent 44%-94% of front row occupants from receiving MAIS2+F injuries. I-ADAS crash and injured person reduction effectiveness was higher when both vehicles were equipped with I-ADAS. This study presented the simulated effectiveness of a hypothetical intersection active safety system on real crashes which occurred in the United States, showing strong potential for these systems to reduce crashes and injuries. However, this crash and injury reduction effectiveness made the idealized assumption of full installation in all vehicles of a future fleet. In order to evaluate I-ADAS effectiveness in the United States fleet the proportion of new vehicles with I-ADAS was modeled using Highway Loss Data Institute (HLDI) fleet penetration predictions. The number of potential LTAP/OD conflicts was modeled as increasing year over year due to a predicted increase in Vehicle Miles Traveled (VMT). Finally, the combined effect of these changes was used to predict the number of LTAP/OD crashes each year from 2019 to 2060. In 2060, we predicted 70,439 NMVCCS-type LTAP/OD crashes would occur. The predicted number of MAIS2+F injured front row occupants in 2060 was 3,836. This analysis shows that even in the long-term fleet penetration of Intersection Active Safety Systems, many injuries will continue to occur. This underscores the importance of maintaining passive safety performance in future vehicles.
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Future vehicles will have electronic systems that can avoid crashes in some cases where a human driver is unable, unaware, or reacts insufficiently to avoid the crash without assistance. The objective of this work was to determine, on a national scale, how many crashes and injuries could be avoided due to Intersection Advanced Driver Assistance Systems (I-ADAS), a hypothetical version of one of these up-and-coming systems. This work focused on crashes where one car is turning left at an intersection and the other car is driving through the intersection and not turning. The I-ADAS system has sensors which continuously search for other vehicles. When the I-ADAS system determines that a crash may happen, it applies the brakes or otherwise alerts the driver to apply the brakes. Rather than conduct actual crash tests, this was simulated on a computer for a large number of variations of the I-ADAS system. The basis for the simulations was real crashes that happened from 2005 to 2007 across the United States. The variations that were simulated changed the time at which the I-ADAS system triggered the brakes (or alert) and the simulated amount of computer time required for the I-ADAS system to make a choice. In some turning crashes, the car cannot see the other vehicle because of obstructions, such as a line of people waiting to turn left across the road. Because of this, simulations were conducted both with and without the visual obstruction. For comparison, we performed a simulation of the original crash as it happened in real life. Finally, since there are two cars in each crash, there are simulations when either car has the I-ADAS system or when both cars have the I-ADAS system. Each simulation either ends in a crash or not, and these are tallied up for each system variation. The number of crashes avoided compared to the number of simulations run is crash effectiveness. Crash effectiveness ranged from 1% to 84% based on the system variation. For each crash that occurred, there is another simulation of the time immediately after impact to determine how severe the impact was. This is used to determine how many injuries are avoided, because often the crashes which still happened were made less severe by the I-ADAS system. In order to determine how many injuries can be avoided by making the crash less severe, the first chapter focuses on injury modeling. This analysis was based on crashes from 2008 to 2015 which were severe enough that one of the vehicles was towed. This was then filtered down by only looking at crashes where the front or sides were damaged. Then, we compared the outcome (injury as reported by the hospital) to the circumstances (crash severity, age, gender, seat belt use, and others) to develop an estimate for how each of these crash circumstances affected the injury experienced by each driver and front row passenger. A second goal for this chapter was to evaluate whether federal government crash ratings, commonly referred to as “star ratings”, are related to whether the driver and passengers are injured or not. In frontal crashes (where a vehicle hits something going forwards), the star rating does not seem to be related to the injury outcome. In near-side crashes (the side next to the occupant is hit), a higher star rating is better. For frontal crashes, the government test is more extreme than all but a few crashes observed in real life, and this might be why the injury outcomes measured in this study are not related to frontal star rating. Finally, these crash and injury effectiveness values will only ever be achieved if every car has an I-ADAS system. The objective of the third chapter was to evaluate how the crash and injury effectiveness numbers change each year as new cars are purchased and older cars are scrapped. Early on, few cars will have I-ADAS and crashes and injuries will likely still occur at roughly the rate they would without the system. This means that crashes and injuries will continue to increase each year because the United States drives more miles each year. Eventually, as consumers buy new cars and replace older ones, left turn intersection crashes and injuries are predicted to be reduced. Long into the future (around 2050), the increase in crashes caused by miles driven each year outpaces the gains due to new cars with the I-ADAS system, since almost all of the old cars without I-ADAS have been removed from the fleet. In 2025, there will be 173,075 crashes and 15,949 injured persons that could be affected by the I-ADAS system. By 2060, many vehicles will have I-ADAS and there will be 70,439 crashes and 3,836 injuries remaining. Real cars will not have a system identical to the hypothetical I-ADAS system studied here, but systems like it have the potential to significantly reduce crashes and injuries.
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Aziz, Tabinda. "Empirical Analyses of Human-Machine Interactions focusing on Driver and Advanced Driver Assistance Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195975.

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Stoddart, Evan. "Computer Vision Techniques for Automotive Perception Systems." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555357244145006.

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Meijer, Max Jan. "Exploring Augmented Reality for enhancing ADAS and Remote Driving through 5G : Study of applying augmented reality to improve safety in ADAS and remote driving use cases." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277857.

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This thesis consists of two projects focusing on how 5G can be used to make vehicles safer. The first project focuses on conceptualizing near-future use cases of how Advanced Driver Assistance Systems (ADAS) can be enhanced through 5G technology. Four concepts were developed in collaboration with various industry partners. These concepts were successfully demonstrated in a proof-of-concept at the 5G Automotive Association (5GAA) “The 5G Path of Vehicle-to-Everything Communication: From Local to Global” conference in Turin, Italy. This proof-of-concept was the world’s first demonstration of such a system. The second project focuses on a futuristic use case, namely remote operation of semi-autonomous vehicles (sAVs). As part of this work, it was explored if augmented reality (AR) can be used to warn remote operators of dangerous events. It was explored if such augmentations can be used to compensate during critical events. These events are defined as occurrences in which the network conditions are suboptimal, and information provided to the operator is limited. To evaluate this, a simulator environment was developed that uses eye- tracking technology to study the impact of such scenarios through user studies. The simulator establishes an extendable platform for future work. Through experiments, it was found that AR can be beneficial in spotting danger. However, it can also be used to directly affect the scanning patterns at which the operator views the scene and directly affect their visual scanning behavior.
Denna avhandling består av två projekt med fokus på hur 5G kan användas för att göra fordon säkrare. Det första projektet fokuserar på att konceptualisera användningsfall i närmaste framtid av hur Advanced Driver Assistance Systems (ADAS) kan förbättras genom 5G-teknik. Fyra koncept utvecklades i samarbete med olika branschpartner. Dessa koncept demonstrerade i ett proof-of- concept på 5G Automotive Association (5GAA) “5G Path of Vehicle to to Everything Communication: From Local to Global” -konferensen i Turin, Italien. Detta bevis-of-concept var världens första demonstration av ett sådant system. Det andra projektet fokuserar på ett långt futuristiskt användningsfall, nämligen fjärrstyrning av semi-autonoma fordon (sAVs). Som en del av detta arbete undersöktes det om augmented reality (AR) kan användas för att varna fjärroperatörer om farliga händelser. Det undersöktes om sådana förstärkningar kan användas för att kompensera under kritiska händelser. Dessa händelser definieras som händelser där nätverksförhållandena är suboptimala och information som tillhandahålls till operatören är begränsad. För att utvärdera detta utvecklades en simulatormiljö som använder ögonspårningsteknologi för att studera effekterna av sådana scenarier genom en användarstudie. Simulatorn bildar en utdragbar plattform för framtida arbete. Genom experiment fann man att AR kan vara fördelaktigt när det gäller att upptäcka fara. Men det kan också användas för att direkt påverka skanningsmönstret där operatören tittar på scenen och direkt påverka deras visuella skanningsbeteende.
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Gerónimo, Gómez David. "A Global Approach to Vision-Based Pedestrian Detection for Advanced Driver Assistance Systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/5795.

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A començaments del segle XXI, els accidents de tràfic han esdevingut un greu problema no només pels països desenvolupats sino també pels emergents. Com en altres àrees científiques on la Intel·ligència Artificial s'ha transformat en un actor principal, els sistemes avançats d'assistència al conductor, i concretament els sistemes de protecció de vianants basats en Visió per Computador, han esdevingut una important línia d'investigació adressada a millorar la seguretat dels vianants. Tanmateix, el repte és d'una complexitat considerable donada la variabilitat dels humans (p.e., roba, mida, relació d'aspecte, forma, etc.), la naturalesa dinàmica dels sistemes d'abord i els entorns no estructurats en moviment que representen els escenaris urbans. A més, els requeriments de rendiment son rigorosos en termes de cost computacional i d'indexos de detecció. En aquesta tesi, en comptes de centrar-nos en millorar tasques específiques com sol ser freqüent a la literatura, presentem una aproximació global al problema. Aquesta visió global comença per la proposta d'una arquitectura genèrica pensada per a ser utilitzada com a marc tant per a la revisió de la literatura com per a organitzar les tècniques estudiades al llarg de la tesi. A continuació enfoquem la recerca en tasques com la segmentació dels objectes en primer pla, la classificació d'objectes i el refinament tot seguint una visió general i explorant aspectes que normalment no son analitzats. A l'hora de fer els experiments, també presentem una nova base de dades que consisteix en tres subconjunts, cadascun adressat a l'evaluació de les diferents tasques del sistema. Els resultats presentats en aquesta tesi no només finalitzen amb la proposta d'un sistema de detecció de vianants sino que van un pas més enllà indicant noves idees, formalitzant algoritmes proposats i ja existents, introduïnt noves tècniques i evaluant el seu rendiment, el qual esperem que aporti nous fonaments per a la futura investigació en aquesta àrea.
At the beginning of the 21th century, traffic accidents have become a major problem not only for developed countries but also for emerging ones. As in other scientific areas in which Artificial Intelligence is becoming a key actor, advanced driver assistance systems, and concretely pedestrian protection systems based on Computer Vision, are becoming a strong topic of research aimed at improving the safety of pedestrians. However, the challenge is of considerable complexity due to the varying appearance of humans (e.g., clothes, size, aspect ratio, shape, etc.), the dynamic nature of on-board systems and the unstructured moving environments that urban scenarios represent. In addition, the required performance is demanding both in terms of computational time and detection rates. In this thesis, instead of focusing on improving specific tasks as it is frequent in the literature, we present a global approach to the problem. Such a global overview starts by the proposal of a generic architecture to be used as a framework both to review the literature and to organize the studied techniques along the thesis. We then focus the research on tasks such as foreground segmentation, object classification and refinement following a general viewpoint and exploring aspects that are not usually analyzed. In order to perform the experiments, we also present a novel pedestrian dataset that consists of three subsets, each one addressed to the evaluation of a different specific task in the system. The results presented in this thesis not only end with a proposal of a pedestrian detection system but also go one step beyond by pointing out new insights, formalizing existing and proposed algorithms, introducing new techniques and evaluating their performance, which we hope will provide new foundations for future research in the area.
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Emanuelsson, Kajsa. "Examining factors for low use behavior of Advanced Driving Assistance Systems." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166400.

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Advanced Driving Assistance Systems (ADAS) has the potential to decrease the number of fatal accidents in traffic. However, in some cases, drivers with the systems in their car are resistant against using them. Exploring the underlying reasons and factors of the low-usage of ADAS was the purpose of this thesis. The thesis consists of Study I, an exploratory interview study with ten drivers who had cars with ADAS. The goal of Study I was to highlight the possible reasons behind the low usage of ADAS. The results of Study I were used to design Study II, which consisted of a survey targeted to drivers who had access to the ADAS adaptive cruise control and lane keep assist (N = 49). The results indicate that the factors or circumstances that affect usage depend on the ADAS and the user groups. Some identified underlying factors for low usage behavior of ADAS are the need to monitor the vehicle more when ADAS is activated and lack of trust in own ability when using ADAS compared to the high usage group.
Advanced Driving Assistance Systems (ADAS) har potential att förhindra antalet dödsfall i trafiken. Det förekommer att förare som har systemen i sin bil, väljer bort att använda dem. Syftet med den här uppsatsen var att undersöka underliggande orsaker och faktorer till låg användningsgrad av ADAS. Uppsatsen består av två studier. Studie I är en explorativ intervjustudie med tio förare som hade bilar med ADAS. Målet med Studie I var att ringa in de möjliga bakomliggande faktorerna för låg användningsgrad av ADAS. Resultaten från Studie I användes för att utforma en enkätstudie till Studie II som var riktad till förare som hade bilar med förarstödsystemen adaptiv farthållare och körfältsassistans (N = 49). Resultaten pekar på att de underliggande orsakerna och faktorerna beror på vilken ADAS som avses samt vilket användargrupp föraren tillhör. Några underliggande faktorer för låg användingsgruppen tycks vara känsla av att behöva övervaka fordonet samt lägre grad av tilltro till den egna förmågan än vad höganvändingsgrupper rapporterade.
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Books on the topic "ADAS systems"

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Sari, Bülent. Fail-operational Safety Architecture for ADAS/AD Systems and a Model-driven Approach for Dependent Failure Analysis. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29422-9.

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International Conference on Advanced Driver Assistance Systems (2001 Birmingham, England). ADAS: International Conference on Advanced Driver Assistance Systems, 17-18 September 2001, venue, Austin Court, Birmingham, UK. London: IEE, 2001.

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Ropper, Allan H. Adams and Victor's principles of neurology. 8th ed. New York: McGraw-Hill Medical Pub. Division, 2005.

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1911-, Adams Raymond D., Victor Maurice 1920-, Brown Robert H. 1947-, and Victor Maurice 1920-, eds. Adams and Victor's principles of neurology. 8th ed. New York: McGraw-Hill Medical Pub. Division, 2005.

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1911-, Adams Raymond D., Victor Maurice 1920-, Samuels Martin A, and Ropper Allan H, eds. Adams and Victor's principles of neurology. 9th ed. New York: McGraw-Hill Medical, 2009.

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Trevor, Moreton, and Natali Antonio, eds. Ada for distributed systems. Cambridge: Cambridge University Press, 1988.

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Scharf, Peter. Learning together with Adam: A family guide to using the Coleco Adam personal computer system. New York: McGraw-Hill, 1985.

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A system of social science: Papers relating to Adam Smith. 2nd ed. Oxford: Clarendon Press, 1996.

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Software systems construction with examples in Ada. Englewood Cliffs, N.J: Prentice Hall, 1994.

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Software design techniques for large Ada systems. [Bedford, Mass.]: Digital Press, 1991.

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Book chapters on the topic "ADAS systems"

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Gehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems, 495–524. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_22.

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Winner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems, 1557–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_62.

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Gehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems, 1–25. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_22-1.

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Winner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems, 1–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_62-1.

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Klanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems, 685–700. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_29.

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Klanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_29-1.

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Antony, Maria Merin, and Ruban Whenish. "Advanced Driver Assistance Systems (ADAS)." In Automotive Embedded Systems, 165–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59897-6_9.

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Kleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems, 647–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_27.

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Kleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems, 1–11. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_27-1.

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Ng, Tian Seng. "ADAS in Autonomous Driving." In Robotic Vehicles: Systems and Technology, 87–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6687-9_12.

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Conference papers on the topic "ADAS systems"

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Ahadi-Sarkani, Armand, and Salma Elmalaki. "ADAS-RL." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3458648.3460008.

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Raviteja, S., and R. Shanmughasundaram. "Advanced Driver Assitance System (ADAS)." In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2018. http://dx.doi.org/10.1109/iccons.2018.8663146.

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Khaled, Chaaban,. "A Distributed Embedded Architecture for ADAS Evaluation." In Control in Transportation Systems, edited by Chassiakos, Anastasios, chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00037.

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Hafner, M. R., K. So Zhao, A. Hsia, and Z. Rachlin. "Localization tools for benchmarking ADAS control systems." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844642.

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Ziebinski, Adam, Rafal Cupek, Damian Grzechca, and Lukas Chruszczyk. "Review of advanced driver assistance systems (ADAS)." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2017 (ICCMSE-2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5012394.

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Peng, Jinzhang, Lu Tian, Xijie Jia, Haotian Guo, Yongsheng Xu, Dongliang Xie, Hong Luo, Yi Shan, and Yu Wang. "Multi-task ADAS system on FPGA." In 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE, 2019. http://dx.doi.org/10.1109/aicas.2019.8771615.

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Haja, Andreas, Carsten Koch, and Lars Klitzke. "The ADAS SWOT Analysis - A Strategy for Reducing Costs and Increasing Quality in ADAS Testing." In 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006354103200325.

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Stevens, A. "ADVISORS - a strategic approach to ADAS deployment." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010488.

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Chalmers, I. J. "User attitudes to automated highway systems." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010489.

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Senior, C. J. D. "Telematics systems from the service perspective." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010491.

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Reports on the topic "ADAS systems"

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Waraniak, John. Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems. SAE International, March 2021. http://dx.doi.org/10.4271/epr2021008.

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Many automotive industry safety advocates have been pushing for greater market penetration for active safety and advanced driver-assistance systems (ADAS), with the goal of ending deaths due to car crashes. However, there are far-reaching implications for the collision repair, specialty equipment, and performance aftermarket sectors—after a collision or modification, the ADAS system functionality must be preserved to maintain, driver, passenger, and road user safety. To do this, sensor recalibration and ADAS functional safety validation and documentation after repair, modification, or accessorizing are necessary. Unsettled Issues on Sensor Calibration for Automotive Aftermarket ADAS tackles the challenges of accelerating the pace of ADAS implementation; increasing industry understanding of systems, sensors, software, controllers; and minimizing the overwhelming variety of sensor calibration procedures and automaker targets. Additionally, this report addresses the liability concerns that are challenging the industry as it seeks to move forward safely.
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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, December 2020. http://dx.doi.org/10.4271/epr2020025.

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This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has been described as a “tango” where we—as humans—cooperate naturally to enable a robust transportation system. Can autonomous systems participate in this tango? Does that even make sense? And if so, how do we make it happen?
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Kerrigan, W. Analytical Data Management System (ADMS). Office of Scientific and Technical Information (OSTI), May 1987. http://dx.doi.org/10.2172/6845581.

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Welderman, Nelson H., Neal Altman, Mark Borger, Patrick Donohoe, William E. Hefley, Mark H. Klein, Stephan F. Landherr, Hans Mumm, and John A. Slusrz. Ada Embedded Systems Testbed Project. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada200609.

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Risko, Theodore. Avionics Diagnostic System (ADS). Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada368423.

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Stouffer, Keith, Robert Jr Russell, Raymond Archacki, Thomas Engel, Richard Dansereau, and Arnold Grot. Advanced Deburring and Chamfering System (ADACS):. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5915.

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Stevens, B. W. Distributed Ada Programs on Heterogeneous Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada294848.

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Russell, Bob, and Fred Proctor. ADACS - an automated system for part finishing. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5171.

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Weiderman, Nelson H., Mark W. Borger, Andrea L. Cappellini, Susan A. Dart, and Mark H. Klein. Ada for Embedded Systems: Issues and Questions. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada191096.

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Griest, Thomas E. Distributed Issues for Ada Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada227852.

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