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Artykuły w czasopismach na temat "Collision avoidance systems"

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Sabattini, Lorenzo, Cristian Secchi i Cesare Fantuzzi. "Collision avoidance for multiple Lagrangian dynamical systems with gyroscopic forces". International Journal of Advanced Robotic Systems 14, nr 1 (1.01.2017): 172988141668710. http://dx.doi.org/10.1177/1729881416687109.

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This article introduces a novel methodology for dealing with collision avoidance for groups of mobile robots. In particular, full dynamics are considered, since each robot is modeled as a Lagrangian dynamical system moving in a three-dimensional environment. Gyroscopic forces are utilized for defining the collision avoidance control strategy: This kind of forces leads to avoiding collisions, without interfering with the convergence properties of the multi-robot system’s desired control law. Collision avoidance introduces, in fact, a perturbation on the nominal behavior of the system: We define a method for choosing the direction of the gyroscopic force in an optimal manner, in such a way that perturbation is minimized. Collision avoidance and convergence properties are analytically demonstrated, and simulation results are provided for validation purpose.
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BĂLOS, Dănuț, Ionică CÎRCIU, Oliver CIUICĂ i Eduard MIHAI. "THEORETICAL CONSIDERATIONS REGARDING THE ACAS (AIRBORNE COLLISION AVOIDANCE SYSTEMS)". Review of the Air Force Academy 16, nr 3 (19.12.2018): 21–28. http://dx.doi.org/10.19062/1842-9238.2018.16.3.3.

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Lin, Jun Ting, Xiao Ming Wang i Jian Wu Dang. "A New Collision Avoidance Strategy for Chinese Train Control System". Applied Mechanics and Materials 614 (wrzesień 2014): 179–83. http://dx.doi.org/10.4028/www.scientific.net/amm.614.179.

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There are still enormous amount of collision between trains even if comprehensive and complex technology, such as train control system, is extensively deployed in the infrastructure which should help to avoid such collisions. Experiences from aviation, maritime, and road transport systems have shown that the probability of collisions can be significantly reduced with collision avoidance systems basing on direct vehicle-to-vehicle communication on-board, which do hardly require infrastructure components. Additional Collision Avoidance System overlay Train Control System (CASOTCS) for Chinese railway, which is independent of the regular control mechanism, is provided in this paper. CASOTCS unit architecture and its key issues: position detection, direct train-to-train communication and collision surveillance resolution are also discussed. CASOTCS receives and evaluates the information broadcasted by other infinity trains, if a potential collision is detected, lead to collision alerts and avoidance resolution advisories. CASOTCS has the potential to increase safety and efficiency in the future, such as shorten the distance between trains.
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Sabic, Edin, i Jing Chen. "Left or Right: Auditory Collision Warnings for Driving Assistance Systems". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, nr 1 (wrzesień 2017): 1551. http://dx.doi.org/10.1177/1541931213601751.

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Assistance driving systems aim to facilitate human behavior and increase safety on the road. These systems comprise common systems such as forward collision warning systems, lane deviation warning systems, and even park assistance systems. Warning systems can communicate with the driver through various modalities, but auditory warnings have the advantage of not further tasking visual resources that are primarily used for driving. Auditory warnings can also be presented from a certain location within the cab environment to be used by the driver as a cue. Beattie, Baillie, Halvey, and McCall (2014) assessed presenting warnings in stereo configuration, coming from one source, and bilateral configuration, panned fully from left or right, and found that drivers felt more in control with lateral warnings than stereo warnings when the car was in self-driving mode. Straughn, Gray, and Tan (2009) examined laterally presented auditory warnings to signal potential collisions. They found that the ideal presentation of warnings in either the avoidance direction, in which the driver should direct the car to avoid a collision, or the collision direction, in which the potential collision is located, was dependent on time to collision. Wang, Proctor, and Pick (2003) applied the stimulus-response compatibility principle to auditory warning design by using a steering wheel in a non-driving scenario and found that a tone presented monaurally in the avoidance-direction led to the fastest steering response. However, the reverse finding occurred when similar experiments utilized a driving simulator in a driving scenario (Straughn et al., 2009; Wang, Pick, Proctor, & Ye, 2007). The present study further investigated how to design spatially presented auditory collision warnings to facilitate drivers’ response to potential collisions. Specifically, tones indicating a pedestrian walking across the road were presented either in the avoidance direction or in the collision direction. The experimental task consisted of monitoring the road for potential collisions and turning the wheel in the appropriate direction to respond. Additionally, time to collision was manipulated to investigate the impact of the timing of the warning and increasing time pressure on the steering response. Time to collision was manipulated by half second intervals from two to four seconds resulting in five different time-to-collision scenarios. Lastly, the effect of individual differences in decision-making styles were also considered by using two decision-making style questionnaires. Results from the experiment showed that the presentation of a collision warning in the collision direction led to faster responses when compared to the warning in the avoidance direction. This result may be due to the collision warning directing the attention of the participant to the location of the threat so that they can more quickly make a response decision. Further, the advantage of avoidance-direction warnings over collision-direction warnings was greater with greater time to collision. Results showed that participant responses to varying time to collision influenced their reaction time. The participants appeared to have not relied solely on the auditory tones, but rather they utilized the warning tones in conjunction with visual information in the environment. These results from this study have implications for improving collision avoidance systems: Presentation of a collision warning in the direction of the collision may be more intuitive to drivers, regardless of time to collision.
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Gnanasekera, Manaram, i Jay Katupitiya. "A Time-Efficient Method to Avoid Collisions for Collision Cones: An Implementation for UAVs Navigating in Dynamic Environments". Drones 6, nr 5 (25.04.2022): 106. http://dx.doi.org/10.3390/drones6050106.

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This paper presents a methodology that can be used to avoid collisions of aerial drones. Even though there are many collision avoidance methods available in literature, collision cone is a proven method that can be used to predict a collision beforehand. In this research, we propose an algorithm to avoid a collision in a time-efficient manner for collision cone based aerial collision avoidance approaches. Furthermore, the paper has considered all possible scenarios including heading change, speed change and combined heading and speed change, to avoid a collision. The heading-based method was mathematically proven to be the most time-efficient method out of the three. The proposed heading-based method was compared with other work presented in the literature and validated with both simulations and experiments. A Matrice 600 Pro hexacopter is used for the collision avoidance experiments.
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Gnanasekera, Manaram, i Jay Katupitiya. "A Time-Efficient Method to Avoid Collisions for Collision Cones: An Implementation for UAVs Navigating in Dynamic Environments". Drones 6, nr 5 (25.04.2022): 106. http://dx.doi.org/10.3390/drones6050106.

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This paper presents a methodology that can be used to avoid collisions of aerial drones. Even though there are many collision avoidance methods available in literature, collision cone is a proven method that can be used to predict a collision beforehand. In this research, we propose an algorithm to avoid a collision in a time-efficient manner for collision cone based aerial collision avoidance approaches. Furthermore, the paper has considered all possible scenarios including heading change, speed change and combined heading and speed change, to avoid a collision. The heading-based method was mathematically proven to be the most time-efficient method out of the three. The proposed heading-based method was compared with other work presented in the literature and validated with both simulations and experiments. A Matrice 600 Pro hexacopter is used for the collision avoidance experiments.
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Gnanasekera, Manaram, i Jay Katupitiya. "A Time-Efficient Method to Avoid Collisions for Collision Cones: An Implementation for UAVs Navigating in Dynamic Environments". Drones 6, nr 5 (25.04.2022): 106. http://dx.doi.org/10.3390/drones6050106.

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This paper presents a methodology that can be used to avoid collisions of aerial drones. Even though there are many collision avoidance methods available in literature, collision cone is a proven method that can be used to predict a collision beforehand. In this research, we propose an algorithm to avoid a collision in a time-efficient manner for collision cone based aerial collision avoidance approaches. Furthermore, the paper has considered all possible scenarios including heading change, speed change and combined heading and speed change, to avoid a collision. The heading-based method was mathematically proven to be the most time-efficient method out of the three. The proposed heading-based method was compared with other work presented in the literature and validated with both simulations and experiments. A Matrice 600 Pro hexacopter is used for the collision avoidance experiments.
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Chang, Yeong-Hwa, Chun-Lin Chen, Wei-Shou Chan, Hung-Wei Lin i Chia-Wen Chang. "Fuzzy Formation Control and Collision Avoidance for Multiagent Systems". Mathematical Problems in Engineering 2013 (2013): 1–18. http://dx.doi.org/10.1155/2013/908180.

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This paper aims to investigate the formation control of leader-follower multiagent systems, where the problem of collision avoidance is considered. Based on the graph-theoretic concepts and locally distributed information, a neural fuzzy formation controller is designed with the capability of online learning. The learning rules of controller parameters can be derived from the gradient descent method. To avoid collisions between neighboring agents, a fuzzy separation controller is proposed such that the local minimum problem can be solved. In order to highlight the advantages of this fuzzy logic based collision-free formation control, both of the static and dynamic leaders are discussed for performance comparisons. Simulation results indicate that the proposed fuzzy formation and separation control can provide better formation responses compared to conventional consensus formation and potential-based collision-avoidance algorithms.
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Hwang, Taewoong, i Ik-Hyun Youn. "Collision Risk Situation Clustering to Design Collision Avoidance Algorithms for Maritime Autonomous Surface Ships". Journal of Marine Science and Engineering 10, nr 10 (27.09.2022): 1381. http://dx.doi.org/10.3390/jmse10101381.

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The reliability of collision avoidance systems for Maritime Autonomous Surface Ships is one of the most critical factors for their safety. In particular, since many ship collisions occur in coastal areas, it is crucial to ensure the reliability of collision avoidance algorithms in geographically limited coastal waters. However, studies on maritime autonomous surface ships collision avoidance algorithms mainly focus on the traffic factor despite the importance of the geographic factor. Therefore, this study presents a methodology for establishing a practical collision avoidance system test bed, considering the geographic environment. The proposed methodology is a data-driven approach that objectively categorizes collision risk situations by extracting these risks using Automatic Identification System (AIS) and Electronic Navigational Chart (ENC) data, followed by clustering algorithms. Consequently, the research results present a direction for establishing test beds from the perspective of geographic and traffic factors.
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Tang, Jun, Miquel Angel Piera, Yunxiang Ling i Linjun Fan. "Extended Traffic Alert Information to Improve TCAS Performance by means of Causal Models". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/303768.

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Near-midair collisions (NMACs) between aircraft have long been a primary safety concern and have incessantly motivated the development of ingenious onboard collision avoidance (CA) systems to reduce collision risk. The Traffic Alert and Collision Avoidance System (TCAS) acts as a proverbially accepted last-resort means to resolve encounters, while it also has been proved to potentially induce a collision in the hectic and congested traffic. This paper aims to improve the TCAS collision avoidance performance by enriching traffic alert information, which strictly fits with present TCAS technological requirements and extends the threat detection considering induced collisions and probabilistic pilot response. The proposed model is specified in coloured Petri net (CPN) formalism, to generate by simulation all the future possible downstream reachable states to enhance the follow-up decision making of pilots via synthesising relevant information related to collision states. With the complete state space, the potential collision scenarios can be identified together with those manoeuvres that may transform a conflict into a collision. The causal TCAS model is demonstrated to work effectively for complex multiaircraft scenarios and to identify the feasible manoeuvres that contribute to reduce the nonzero TCAS-induced collision risk.
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Rozprawy doktorskie na temat "Collision avoidance systems"

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Melega, Marco. "Autonomous Collision avoidance for Unmanned aerial systems". Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9251.

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Unmanned Aerial System (UAS) applications are growing day by day and this will lead Unmanned Aerial Vehicle (UAV) in the close future to share the same airspace of manned aircraft.This implies the need for UAS to define precise safety standards compatible with operations standards for manned aviation. Among these standards the need for a Sense And Avoid (S&A) system to support and, when necessary, sub¬stitute the pilot in the detection and avoidance of hazardous situations (e.g. midair collision, controlled flight into terrain, flight path obstacles, and clouds). This thesis presents the work come out in the development of a S&A system taking into account collision risks scenarios with multiple moving and fixed threats. The conflict prediction is based on a straight projection of the threats state in the future. The approximations introduced by this approach have the advantage of high update frequency (1 Hz) of the estimated conflict geometry. This solution allows the algorithm to capture the trajectory changes of the threat or ownship. The resolution manoeuvre evaluation is based on a optimisation approach considering step command applied to the heading and altitude autopilots. The optimisation problem takes into account the UAV performances and aims to keep a predefined minimum separation distance between UAV and threats during the resolution manouvre. The Human-Machine Interface (HMI) of this algorithm is then embedded in a partial Ground Control Station (GCS) mock-up with some original concepts for the indication of the flight condition parameters and the indication of the resolution manoeuvre constraints. Simulations of the S&A algorithm in different critical scenarios are moreover in-cluded to show the algorithm capabilities. Finally, methodology and results of the tests and interviews with pilots regarding the proposed GCS partial layout are covered.
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Blackwell, Grahame Kenneth. "An expert systems approach to collision avoidance". Thesis, University of Plymouth, 1992. http://hdl.handle.net/10026.1/1773.

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Barrios, Cesar. "Predicting Trajectory Paths For Collision Avoidance Systems". ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/386.

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This work was motivated by the idea of developing a more encompassing collision avoidance system that supported vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. Current systems are mostly based on line of sight sensors that are used to prevent a collision, but these systems would prevent even more accidents if they could detect possible collisions before both vehicles were in line of sight. For this research we concentrated mostly on the aspect of improving the prediction of a vehicle's future trajectory, particularly on non-straight paths. Having an accurate prediction of where the vehicle is heading is crucial for the system to reliably determine possible path intersections of more than one vehicle at the same time. We first evaluated the benefits of merging Global Positioning System (GPS) data with the Geographical Information System (GIS) data to correct improbable predicted positions. We then created a new algorithm called the Dead Reckoning with Dynamic Errors (DRWDE) sensor fusion, which can predict future positions at the rate of its fastest sensor, while improving the handling of accumulated error while some of the sensors are offline for a given period of time. The last part of out research consisted in the evaluation of the use of smartphones' built-in sensors to predict a vehicle's trajectory, as a possible intermediate solution for a vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications, until all vehicles have all the necessary sensors and communication infrastructure to fully populate this new system. For the first part of our research, the actual experimental results validated our proposed system, which reduced the position prediction errors during curves to around half of what it would be without the use of GIS data for prediction corrections. The next improvement we worked on was the ability to handle change in noise, depending on unavailable sensor measurements, permitting a flexibility to use any type of sensor and still have the system run at the fastest frequency available. Compared to a more common KF implementation that run at the rate of its slowest sensor (1Hz in our setup), our experimental results showed that our DRWDE (running at 10Hz) yielded more accurate predictions (25-50% improvement) during abrupt changes in the heading of the vehicle. The last part of our research showed that, comparing to results obtained with the vehicle-mounted sensors, some smartphones yield similar prediction errors and can be used to predict a future position.
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Degen, Shane C. "Reactive image-based collision avoidance system for unmanned aircraft systems". Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46969/1/Shane_Degen_Thesis.pdf.

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Approximately 20 years have passed now since the NTSB issued its original recommendation to expedite development, certification and production of low-cost proximity warning and conflict detection systems for general aviation [1]. While some systems are in place (TCAS [2]), ¡¨see-and-avoid¡¨ remains the primary means of separation between light aircrafts sharing the national airspace. The requirement for a collision avoidance or sense-and-avoid capability onboard unmanned aircraft has been identified by leading government, industry and regulatory bodies as one of the most significant challenges facing the routine operation of unmanned aerial systems (UAS) in the national airspace system (NAS) [3, 4]. In this thesis, we propose and develop a novel image-based collision avoidance system to detect and avoid an upcoming conflict scenario (with an intruder) without first estimating or filtering range. The proposed collision avoidance system (CAS) uses relative bearing ƒÛ and angular-area subtended ƒê , estimated from an image, to form a test statistic AS C . This test statistic is used in a thresholding technique to decide if a conflict scenario is imminent. If deemed necessary, the system will command the aircraft to perform a manoeuvre based on ƒÛ and constrained by the CAS sensor field-of-view. Through the use of a simulation environment where the UAS is mathematically modelled and a flight controller developed, we show that using Monte Carlo simulations a probability of a Mid Air Collision (MAC) MAC RR or a Near Mid Air Collision (NMAC) RiskRatio can be estimated. We also show the performance gain this system has over a simplified version (bearings-only ƒÛ ). This performance gain is demonstrated in the form of a standard operating characteristic curve. Finally, it is shown that the proposed CAS performs at a level comparable to current manned aviations equivalent level of safety (ELOS) expectations for Class E airspace. In some cases, the CAS may be oversensitive in manoeuvring the owncraft when not necessary, but this constitutes a more conservative and therefore safer, flying procedures in most instances.
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Mcfadyen, Aaron. "Visual control for automated aircraft collision avoidance systems". Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/81418/1/Aaron_McFadyen_Thesis.pdf.

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This thesis presents a new vision-based decision and control strategy for automated aircraft collision avoidance that can be realistically applied to the See and Avoid problem. The effectiveness of the control strategy positions the research as a major contribution toward realising the simultaneous operation of manned and unmanned aircraft within civilian airspace. Key developments include novel classical and visual predictive control frameworks, and a performance evaluation technique aligned with existing aviation practise and applicable to autonomous systems. The overall approach is demonstrated through experimental results on a small multirotor unmanned aircraft, and through high fidelity probabilistic simulation studies.
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Strömgren, Oliver. "Deep Learning for Autonomous Collision Avoidance". Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147693.

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Deep learning has been rapidly growing in recent years obtaining excellent results for many computer vision applications, such as image classification and object detection. One aspect for the increased popularity of deep learning is that it mitigates the need for hand-crafted features. This thesis work investigates deep learning as a methodology to solve the problem of autonomous collision avoidance for a small robotic car. To accomplish this, transfer learning is used with the VGG16 deep network pre-trained on ImageNet dataset. A dataset has been collected and then used to fine-tune and validate the network offline. The deep network has been used with the robotic car in a real-time manner. The robotic car sends images to an external computer, which is used for running the network. The predictions from the network is sent back to the robotic car which takes actions based on those predictions. The results show that deep learning has great potential in solving the collision avoidance problem.
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Alturbeh, Hamid. "Collision avoidance systems for UAS operating in civil airspace". Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9295.

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Operation of Unmanned Aerial Vehicles (UAVs) in civil airspace is restricted by the aviation authorities which require full compliance with regulations that apply for manned aircraft. This thesis proposes control algorithms for a collision avoidance system that can be used as an advisory system or a guidance system for UAVs that are flying in civil airspace under visual flight rules. An effective collision avoidance system for the UAV should be able to perform the different functionalities of the pilot in manned aircraft. Thus, it should be able to determine, generate, and perform safe avoidance manoeuvres. However, the capability to generate resolution advisories is crucial for the advisory systems. A decision making system for collision avoidance is developed based on the rules of the air. The proposed architecture of the decision making system is engineered to be implementable in both manned aircraft and UAVs to perform different tasks ranging from collision detection to a safe avoidance manoeuvre initiation. Avoidance manoeuvres that are compliant with the rules of the air are proposed based on pilot suggestions for a subset of possible collision scenarios. The avoidance manoeuvre generation algorithm is augmented with pilot experience by using fuzzy logic technique to model pilot actions in generating the avoidance manoeuvres. Hence, the generated avoidance manoeuvres mimic the avoidance manoeuvres of manned aircraft. The proposed avoidance manoeuvres are parameterized using a geometric approach. An optimal collision avoidance algorithm is developed for real-time local trajectory planning. Essentially, a finite-horizon optimal control problem is periodically solved in real-time hence updating the aircraft trajectory to avoid obstacles and track a predefined trajectory. The optimal control problem is formulated in output space, and parameterised by using B-splines. Then the optimal designed outputs are mapped into control inputs of the system by using the inverse dynamics of a fixed wing aircraft.
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Yi, Boliang [Verfasser]. "Integrated Planning and Control for Collision Avoidance Systems / Boliang Yi". Karlsruhe : KIT Scientific Publishing, 2018. http://www.ksp.kit.edu.

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Yick, King-Yeung 1978. "Design and test of intersection collision avoidance systems for automobiles". Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/82790.

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Gorman, Thomas Ian. "Prospects for the Collision-Free Car: The Effectiveness of Five Competing Forward Collision Avoidance Systems". Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/24721.

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Rear-end collisions in which the leading vehicle was stationary prior to impact and at least one vehicle was towed from the crash site represent 18% of all yearly crashes in the United States. Forward Collision Avoidance Systems (FCASs) are becoming increasingly available in production vehicles and have a great potential for preventing or mitigating rear-end collisions. The objective of this study was to compare the effectiveness of five crash avoidance algorithms that are similar in design to systems found on production vehicles of model year 2011. To predict the effectiveness of each algorithm, this study simulated a representative sample of rear-end collisions as if the striking vehicle was equipped with each FCAS. In 2011, the ADAC (Allgemeiner Deutscher Automobil-Club e.V) published a test report comparing advanced emergency braking systems. The ADAC tested production vehicles of model year 2011 made by Audi, BMW, Infiniti, Volvo, and VW. The ADAC test results were used in conjunction with video evidence and owner's manual information to develop mathematical models of five different FCASs. The systems had combinations of Forward Collision Warning (FCW), Assisted Braking (AB), and Autonomous Emergency Braking (AEB). The effectiveness of each modeled system was measured by its ability to prevent collisions or reduce the collision severity of reconstructed crashes. In this study, 977 rear-end crashes that occurred from 1993 to 2008 were mathematically reconstructed. These crashes were investigated as part of NHTSA's National Automotive Sampling System, Crashworthiness Data System (NASS/CDS). These crashes represent almost 800,000 crashes during that time period in which the struck vehicle was stationary. Part of the NASS/CDS investigation was to reconstruct the vehicle change in velocity during impact, ∆V. Using energy and Newtonian based methods, the ∆V in each crash was calculated as if the vehicle was equipped with each modeled FCAS. Using the predicted reduction in crash ∆V, the expected reduction in the number of moderately-to-fatally injured (MAIS2+) drivers was predicted. This study estimates that the most effective FCAS model was the Volvo algorithm which could potentially prevent between 79% and 92% of the crashes simulated in this study and between 76% and 94% of associated driver injuries. This study estimates that the BMW algorithm would prevent the fewest number of crashes (between 11% and 14%), but would provide admirable benefits to driver safety by preventing between 21% and 25% of driver injuries. The VW algorithm would be the least effective at preventing driver injuries if the system were to be implemented across the U.S. fleet. This algorithm offers a 19% reduction in crashes, but only prevents 15% of driver injuries. This study introduces and demonstrates a unique method of comparing potential benefits of competing FCAS algorithms. This method could be particularly useful to system designers for comparing the expected effects of design decisions on safety performance. This method could also be useful to government officials who wish to evaluate the effectiveness of FCASs.
Master of Science
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Książki na temat "Collision avoidance systems"

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K, Jurgen Ronald, i Society of Automotive Engineers, red. Object detection, collision warning & avoidance systems. Warrendale, PA: SAE International, 2007.

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K, Jurgen Ronald, i Society of Automotive Engineers, red. Object detection, collision warning, and avoidance systems. Warrendale, PA: Society of Automotive Engineers, 1998.

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Authority, Civil Aviation, red. Airborne collision avoidance systems (ACAS): Guidance material. Wyd. 2. London: Civil Aviation Authority, 1994.

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Mara, Wil. From locusts to-- automobile anti-collision systems. Ann Arbor, Mich: Cherry Lake Pub., 2012.

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Naja, Rola. Wireless Vehicular Networks for Car Collision Avoidance. New York, NY: Springer New York, 2013.

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Society of Automotive Engineers. Committee G-10, Aerospace Behavioral Engineering Technology., red. Human interface criteria for collision avoidance systems in transport aircraft. Warrendale, PA: Society of Automotive Engineers, 1988.

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Szabo, S. The AUTONAV/DOT project: Baseline measurement system for evaluation of roadway departure warning system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Karl, Murphy, Juberts Maris i National Institute of Standards and Technology (U.S.), red. The AUTONAV/DOT project: Baseline measurement system for evaluation of roadway departure warning system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Karl, Murphy, Juberts Maris i National Institute of Standards and Technology (U.S.), red. The AUTONAV/DOT project: Baseline measurement system for evaluation of roadway departure warning system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Houser, Amy. Concept of operations and voluntary operational requirements for Forward Collision Warning Systems (CWS) and Adaptive Cruise Control (ACC) Systems on board commercial motor vehicles. Washington, D.C.]: U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2005.

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Części książek na temat "Collision avoidance systems"

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Platzer, André. "Air Traffic Collision Avoidance". W Logical Analysis of Hybrid Systems, 303–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14509-4_8.

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Lommertzen, Janneke, Eliana Costa e Silva, Raymond H. Cuijpers i Ruud G. J. Meulenbroek. "Collision-Avoidance Characteristics of Grasping". W Anticipatory Behavior in Adaptive Learning Systems, 188–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02565-5_11.

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Jha, Pooja. "Accident warning and collision avoidance systems". W Vehicular Communications for Smart Cars, 19–38. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781315110905-2.

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de Toledo, Santiago Álvarez, José M. Barreiro, Josél L. Fuertes, Álngel L. González i Juan A. Lara. "Automatic Collision Avoidance and Navigation". W Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, 272–76. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8735-6_51.

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Gorbenko, Anna, i Vladimir Popov. "Deceptive Actions and Robot Collision Avoidance". W Advances in Intelligent Systems and Computing, 105–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25719-4_14.

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Knoll, P. M., i B. J. Schäefer. "Predictive Safety Systems — Steps Towards Collision Avoidance and Collision Mitigation". W Advanced Microsystems for Automotive Applications 2005, 85–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27463-4_7.

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Guo, Xiang-Gui, Jian-Liang Wang, Fang Liao i Rodney Teo. "Collision Avoidance for Vehicle Platoon with Input Deadzone". W Multi-Agent Systems, 99–111. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429287770-7.

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Naja, Rola. "A Survey of Communications for Intelligent Transportation Systems". W Wireless Vehicular Networks for Car Collision Avoidance, 3–35. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6_1.

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Hu, Mengxia, Wenhui Zhang, Penghui Li, Zhixiao Zheng i Yibing Li. "Drivers’ Collision Avoidance Pattern Before Imminent Intersection Accidents". W Green Intelligent Transportation Systems, 717–25. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0302-9_70.

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Pȩszor, Damian, Marcin Paszkuta, Marzena Wojciechowska i Konrad Wojciechowski. "Optical Flow for Collision Avoidance in Autonomous Cars". W Intelligent Information and Database Systems, 482–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75420-8_46.

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Streszczenia konferencji na temat "Collision avoidance systems"

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Zimmermann, Simon, Matthias Busenhart, Simon Huber, Roi Poranne i Stelian Coros. "Differentiable Collision Avoidance Using Collision Primitives". W 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981093.

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Wu Zhang i Sheldon Chang. "Vehicle-controlled collision avoidance". W Vehicle Navigation and Information Systems Conference, 1996. IEEE, 1996. http://dx.doi.org/10.1109/vnis.1996.1623755.

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Ali, Mohammad, Andrew Gray, Yiqi Gao, J. Karl Hedrick i Francesco Borrelli. "Multi-Objective Collision Avoidance". W ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3951.

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This paper presents a multi-objective safety system that is capable of avoiding unintended collisions with stationary and moving road obstacles, vehicle control loss as well as unintended roadway departures. The safety system intervenes only when there is an imminent safety risk while full control is left to the driver otherwise. The problems of assessing wether an intervention is required as well as controlling the vehicle motion in case an intervention is needed are jointly formulated as a single optimization problem, that is repeatedly solved in receding horizon. The novelty of the formulation lies in the ability of simultaneously avoiding moving obstacles while assessing the necessity thereof. The versatility of the proposed formulation is demonstrated through simulations showing its ability of avoiding a wide range of accident scenarios.
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Brandt, Thorsten, Thomas Sattel i Jörg Wallaschek. "On Automatic Collision Avoidance Systems". W SAE 2005 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-1479.

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Boardman, Beth L., Tyson L. Hedrick, Diane H. Theriault, Nathan W. Fuller, Margrit Betke i Kristi A. Morgansen. "Collision avoidance in biological systems using collision cones". W 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580285.

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Friedhoff, J. E., i E. L. Hall. "Shape Estimation For Collision Avoidance". W Cambridge Symposium_Intelligent Robotics Systems, redaktor David P. Casasent. SPIE, 1987. http://dx.doi.org/10.1117/12.937736.

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Hahn, Carsten, i Sebastian Feld. "Collision Avoidance using Intuitive Physics". W 2018 Innovations in Intelligent Systems and Applications (INISTA). IEEE, 2018. http://dx.doi.org/10.1109/inista.2018.8466298.

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Gan, Xusheng, Yarong Wu, Pingni Liu i Qian Wang. "Dynamic Collision Avoidance Zone Modeling Method Based on UAV Emergency Collision Avoidance Trajectory". W 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). IEEE, 2020. http://dx.doi.org/10.1109/icaiis49377.2020.9194915.

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Ljung Aust, Mikael, Lotta Jakobsson, Magdalena Lindman i Erik Coelingh. "Collision Avoidance Systems - Advancements and Efficiency". W SAE 2015 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-1406.

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Ferlis, Robert A. "Infrastructure Systems for Intersection Collision Avoidance". W Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1078.

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Raporty organizacyjne na temat "Collision avoidance systems"

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Mapes, Peter B. Fighter/Attack Automatic Collision Avoidance Systems Business Case. Fort Belvoir, VA: Defense Technical Information Center, luty 2006. http://dx.doi.org/10.21236/ada444127.

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Chen, Yan, Christopher Nwagboso i Panagiotis Georgakis. Modelling Integrated Safety Systems With Collision Avoidance and Intelligent Speed Adaptation. Warrendale, PA: SAE International, maj 2005. http://dx.doi.org/10.4271/2005-08-0260.

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McGehee, Daniel V., G. H. Scott Baldwin, Peter Grant, Carole J. Simmons, Jon Hankey, Garrick Forkenbrock i Elizabeth N. Mazzae. Examination of Drivers' Collision Avoidance Behavior Using Conventional and Antilock Brake Systems on the Iowa Driving Simulator. Washington, D.C: U.S. Department of Transportation. National Highway Traffic Safety Administration, czerwiec 1999. http://dx.doi.org/10.17077/9ail-egi7.

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Kulhandjian, Hovannes. AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera. Mineta Transportation Institute, listopad 2022. http://dx.doi.org/10.31979/mti.2022.2127.

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In 2019, the United States experienced more than 6,500 pedestrian fatalities involving motor vehicles which resulted in a 67% rise in nighttime pedestrian fatalities and only a 10% rise in daytime pedestrian fatalities. In an effort to reduce fatalities, this research developed a pedestrian detection and alert system through the application of a visual camera, infrared camera, and radar sensors combined with machine learning. The research team designed the system concept to achieve a high level of accuracy in pedestrian detection and avoidance during both the day and at night to avoid potentially fatal accidents involving pedestrians crossing a street. The working prototype of pedestrian detection and collision avoidance can be installed in present-day vehicles, with the visible camera used to detect pedestrians during the day and the infrared camera to detect pedestrians primarily during the night as well as at high glare from the sun during the day. The radar sensor is also used to detect the presence of a pedestrian and calculate their range and direction of motion relative to the vehicle. Through data fusion and deep learning, the ability to quickly analyze and classify a pedestrian’s presence at all times in a real-time monitoring system is achieved. The system can also be extended to cyclist and animal detection and avoidance, and could be deployed in an autonomous vehicle to assist in automatic braking systems (ABS).
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Huijser, M. P., Robert J. Ament, M. Bell, A. P. Clevenger, E. R. Fairbank, K. E. Gunson i T. McGuire. Animal Vehicle Collision Reduction and Habitat Connectivity Pooled Fund Study – Literature Review. Nevada Department of Transportation, grudzień 2021. http://dx.doi.org/10.15788/ndot2021.12.

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This report contains a summary of past research and new knowledge about the effectiveness of mitigation measures aimed at reducing animal-vehicle collisions and at providing safe crossing opportunities for wildlife. The measures are aimed at terrestrial large bodied wild mammal species, free roaming large livestock species (e.g. cattle, horses), free roaming large feral species (e.g. “wild” horses and burros), and small animal species (amphibians, reptiles, and small mammals). While mitigation is common, it is best to follow a three-step approach: avoidance, mitigation, and compensation or “off-site” mitigation. If reducing collisions with large wild mammals is the only objective, the most effective measures include roadside animal detection systems, wildlife culling, wildlife relocation, anti-fertility treatments, wildlife barriers (fences),and wildlife fences in combination with wildlife crossing structures. If the objectives also include maintaining or improving connectivity for large wild mammals, then wildlife barriers (fences) in combination with wildlife crossing structures are most effective. Measures for large domestic mammal species are largely similar, though for free roaming livestock there are legal, moral and ethical issues. For small animal species, temporary or permanent road closure and road removal are sometimes implemented, but barriers in combination with crossing structures are the most common.
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Wilson, Mike, i Glenn Baker. Passive Collision Avoidance System for UAS. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2008. http://dx.doi.org/10.21236/ada486617.

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Miyoshi, Noboru, Masao Nagai, Takayoshi Kamada i Hidehisa Yoshida. Development of Forward-Collision Avoidance Warning System Adapted for Driver Characteristics. Warrendale, PA: SAE International, wrzesień 2005. http://dx.doi.org/10.4271/2005-08-0554.

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Sasaki, Yousei, Yoshimi Furukawa i Takashi Suzuki. An Examination of Assist System in the Scene of Collision Avoidance Steer. Warrendale, PA: SAE International, wrzesień 2005. http://dx.doi.org/10.4271/2005-08-0483.

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Kurosaki, Akira, Hiroaki Kosaka, Masaru Noda i Hirokazu Nishitani. Relationship Between Missing/False Alarm of a Collision Avoidance Assist System and Driver's Behavior. Warrendale, PA: SAE International, maj 2005. http://dx.doi.org/10.4271/2005-08-0297.

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Hynd, David, Caroline Wallbank, Jonathan Kent, Ciaran Ellis, Arun Kalaiyarasan, Robert Hunt i Matthias Seidl. Costs and Benefits of Electronic Stability Control in Selected G20 Countries. TRL, styczeń 2020. http://dx.doi.org/10.58446/lsrg3377.

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This report, commissioned by Bloomberg Philanthropies, finds that 42,000 lives could be saved and 150,000 serious injuries prevented by 2030 if all new cars in seven G20 countries were required to be equipped with an inexpensive crash avoidance technology starting in 2020. Thirteen G20 counties currently adhere to United Nations regulations on electronic stability control (ESC). If the seven remaining countries—Argentina, Brazil, China, India, Indonesia, Mexico and South Africa—also mandated ESC in 2020, the report estimates $21.5 billion in economic benefit to those countries from the prevention of deaths and serious injuries. Argentina and Brazil are due to start applying ESC regulations in 2020. The UK-based Transport Research Laboratory (TRL) conducted the independent study of costs and benefits of applying ESC regulation in G20 countries, which are responsible for 98% of the world’s passenger car production. This report comes before the 3rd Ministerial Conference on Road Safety in Stockholm, which is the largest gathering of governments and is a key opportunity for adoption of this UN-recommended standard. According to the World Health Organization’s Global Road Safety Report, the number of road traffic deaths reached 1.35 million in 2016. Of all vehicle safety features, electronic stability control is regarded as the most important one for crash avoidance since it is 38% effective in reducing the number of deaths in loss-of-control collisions. ESC tries to prevent skidding and loss of control in cases of over-steering and under-steering. The technology continuously monitors a vehicle’s direction of travel, steering wheel angle and the speed at which the individual wheels are rotating. If there is a mismatch between the intended direction of travel and the actual direction of travel, as indicated by the steering wheel position, ESC will selectively apply the brakes and modulate the engine power to keep the vehicle traveling along the intended path. The cost of implementing ESC on vehicles that already contain anti-lock braking systems is thought to be as little as $50 per car. And the report finds the benefits are significant: For every dollar spent by consumers in purchasing vehicles with these technologies, there is a US$2.80 return in economic benefit to society because of the deaths and serious injuries avoided. The analysis warns that without regulation of ESC, the seven remaining G20 countries will only reach 44% installation of ESC by 2030. However, if all seven countries implemented ESC regulations this year, 85% of the total car fleet in G20 countries will have ESC by 2030, a figure still below the United Nations target of 100% ESC fleet coverage by 2030.
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