Добірка наукової літератури з теми "Autonomous vehicle safety measures"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Autonomous vehicle safety measures".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Autonomous vehicle safety measures"
Pauwels, Alex, Nadia Pourmohammad-Zia, and Frederik Schulte. "Safety and Sustainable Development of Automated Driving in Mixed-Traffic Urban Areas—Considering Vulnerable Road Users and Network Efficiency." Sustainability 14, no. 20 (October 19, 2022): 13486. http://dx.doi.org/10.3390/su142013486.
Повний текст джерелаMorando, Mark Mario, Qingyun Tian, Long T. Truong, and Hai L. Vu. "Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures." Journal of Advanced Transportation 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6135183.
Повний текст джерелаBai, Jiarui. "Research on the Application of Deep Learning in Automatic Vehicle." SHS Web of Conferences 144 (2022): 03021. http://dx.doi.org/10.1051/shsconf/202214403021.
Повний текст джерелаShin, Woo-Ri, Hyun-Bin Jo, Min-Sang Cho, and Ho-Dae Cho. "A Study on the Safety Management Measures of Autonomous vehicle in disaster situation." Korean Journal of Security Convergence Management 9, no. 1 (February 28, 2020): 133–42. http://dx.doi.org/10.24826/kscs.9.1.9.
Повний текст джерелаZheng, Binshuang, Xiaoming Huang, Runmin Zhao, Zhengqiang Hong, Jiaying Chen, and Shengze Zhu. "Study on the Rut Control Threshold of Asphalt Pavement Considering Steering Stability of Autonomous Vehicles Based on Fuzzy Control Theory." Advances in Civil Engineering 2021 (April 17, 2021): 1–13. http://dx.doi.org/10.1155/2021/8879900.
Повний текст джерелаŽuraulis, Vidas, Vytenis Surblys, and Eldar Šabanovič. "TECHNOLOGICAL MEASURES OF FOREFRONT ROAD IDENTIFICATION FOR VEHICLE COMFORT AND SAFETY IMPROVEMENT." Transport 34, no. 3 (May 27, 2019): 363–72. http://dx.doi.org/10.3846/transport.2019.10372.
Повний текст джерелаEl-Hansali, Youssef, Siham Farrag, Ansar Yasar, Elhadi Shakshuki, and Khalid Al-Abri. "Using Surrogate Measures to Evaluate the Safety of Autonomous Vehicles." Procedia Computer Science 191 (2021): 151–59. http://dx.doi.org/10.1016/j.procs.2021.07.020.
Повний текст джерелаLahdya, S., and T. Mazri. "DATA SECURITY CHALLENGES IN SELF-DRIVING CAR." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W3-2022 (December 2, 2022): 61–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w3-2022-61-2022.
Повний текст джерелаGiuffrè, Tullio, Anna Granà, and Salvatore Trubia. "Safety Evaluation of Turbo-Roundabouts with and without Internal Traffic Separations Considering Autonomous Vehicles Operation." Sustainability 13, no. 16 (August 6, 2021): 8810. http://dx.doi.org/10.3390/su13168810.
Повний текст джерелаWang, Song, and Zhixia Li. "Roadside Sensing Information Enabled Horizontal Curve Crash Avoidance System Based on Connected and Autonomous Vehicle Technology." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (March 22, 2019): 49–60. http://dx.doi.org/10.1177/0361198119837957.
Повний текст джерелаДисертації з теми "Autonomous vehicle safety measures"
Volland, Kirk N. "Design, construction and testing of a prototype holonomic autonomous vehicle." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FVolland.pdf.
Повний текст джерелаThesis Advisor(s): Harkins, Richard. "December 2007." Description based on title screen as viewed on January 24, 2008. Includes bibliographical references (p. 189-192). Also available in print.
Aslansefat, K., Sohag Kabir, Amr R. A. Abdullatif, Vinod Vasudevan, and Y. Papadopoulos. "Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems." IEEE, 2021. http://hdl.handle.net/10454/18591.
Повний текст джерелаThis article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-the loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relatively high due to insufficient training data, distributional shift, or cyber-security attack. Thus, AI-based algorithms should make dependable decisions to improve their interpretation of the environment, lower the risk of autonomous driving, and avoid catastrophic accidents. This paper proposes an approach named SafeML II, which applies empirical cumulative distribution function (ECDF)-based statistical distance measures in a designed human-in-the-loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The approach is model-agnostic and it can cover various machine learning and deep learning classifiers. The German Traffic Sign Recognition Benchmark (GTSRB) is used to illustrate the capabilities of the proposed approach.
This work was supported by the Secure and Safe MultiRobot Systems (SESAME) H2020 Project under Grant Agreement 101017258.
Todescatt, Daniel 1973. "Influência do sistema pré-crash de segurança veicular em ocupantes de diferentes estaturas : Influence of vehicle pre-crash safety system in occupants of different sizes." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265952.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-24T20:27:51Z (GMT). No. of bitstreams: 1 Todescatt_Daniel_M.pdf: 4563684 bytes, checksum: 112b516ee4dd9c22aab0bea92df347f4 (MD5) Previous issue date: 2014
Resumo: Esta dissertação visa comparar o desempenho de um sistema convencional de proteção de ocupantes (sistema de retenção) em um veículo de passeio com um sistema pre-crash, considerando ocupantes de três tamanhos diferentes. O termo pre-crash significa que pode ocorrer o disparo do air-bag e pré-tensionador antes do instante de impacto enquanto que no sistema convencional o disparo ocorre sempre após o impacto. Com esta finalidade foi utilizado um modelo de simulação desenvolvido no programa `Madymo¿ combinado ao programa de otimização multidisciplinar `Mode-Frontier¿. Este modelo corresponde à parte do veículo que envolve o motorista e é constituído por parte da carroçaria, assento, coluna de direção e o sistema de retenção. Todo o modelo está sujeito a uma curva de aceleração que representa um impacto frontal contra uma barreira rígida a 50 km/h. São utilizados três tamanhos padronizados de ocupantes representados por bonecos (dummies) que possuem sensores em certas partes do corpo com a finalidade de identificar os índices biomecânicos resultantes do impacto. Estes índices biomecânicos identificam o nível de carga sobre estas partes do corpo e podem ser comparados com critérios estabelecidos em norma. Os três tamanhos de ocupante são definidos da seguinte forma: 5%, 50% e 95%. Onde 5% representa a parcela de 5% da população de menor estatura, 50% representa uma estatura equivalente à média da população e 95% a estatura que é maior que 95% da população. Este padrão é definido de acordo com o tamanho da população americana da época em que estes dummies foram desenvolvidos. O trabalho é dividido em três etapas. Na primeira é utilizado o programa de otimização para dimensionar um sistema de retenção que seja ideal para o 'dummy' tamanho 50%. A partir dos parâmetros determinados para o sistema de retenção são avaliados e comparados os índices biomecânicos dos ocupantes de tamanhos 5% e 95%. O objetivo é demonstrar os riscos a que os ocupantes de dimensões fora do tamanho 50% estão sujeitos. Posteriormente são encontrados, também por meio de algoritmo de otimização, os parâmetros do sistema de retenção que são ideais para os ocupantes 5% e 95%. Novamente é feita uma comparação dos resultados. Por fim é feito um procedimento similar considerando a possibilidade de adiantamento no disparo de dois dispositivos do sistema de retenção: air-bag e pré-tensionador. Novamente é utilizado o algoritmo de otimização para encontrar os parâmetros ideais do sistema de retenção para o ocupante de estatura 50%. Neste caso pode-se verificar se ocorre a melhora dos índices biomecânicos para o ocupante de tamanho 50% comparando-se com os resultados obtidos em um sistema de retenção convencional. Porém, neste caso, o aspecto mais importante deste trabalho é verificar se o adiantamento no tempo de disparo possibilita de redução do risco de ferimentos também para os ocupantes com dimensões 5% e 95% mesmo utilizando-se um sistema de retenção dimensionado para o ocupante de tamanho 50%. Palavras-Chave: segurança veicular, impacto veicular frontal, estatura, simulação, otimização
Abstract: This dissertation aims to compare the performance of a conventional occupants protection system in a passenger vehicle with the performance of a pre-crash system, considering occupants of three different sizes. The term pre-crash means that the firing of the airbag and pretensioner may occur before the instant of impact, while in the conventional system the trigger always occurs after impact. With this purpose a simulation model was developed in the software 'MADYMO' combined with the multidisciplinary optimization software 'Mode-Frontier'. The frontal region of the passengers compartment, the seat, the steering column and the restraint system are modelled. The whole model is subject to an acceleration curve that represents a frontal impact against a rigid barrier at 50 km/h. Three standard occupant sizes represented by dummies are used. They have sensors in certain parts of the body with the purpose of identifying the biomechanical results from an impact. The level of biomechanical loads on parts of the body can be compared with the criteria established in the regulations. The three sizes of occupant are defined as follows: 5%, 50% and 95%. Where 5% is the share of 5% of the population with smaller stature, 50% represents a height equivalent to the average of the population and 95% height that is greater than 95% of the population. The default size is set according to the size of the U.S. population at the time that these dummies were developed. The work is divided into three stages. The first uses an optimization program to obtain a restraint system that is ideal for the dummy size 50%. From the parameters determined for the restraint system the biomechanical indices of occupant sizes 5% and 95% are evaluated and compared. The purpose is to demonstrate the risks to which occupants of dimensions out of size 50% are subject. In the second stage the parameters of the restraint system which are ideal for the sizes 5% and 95% are found, also by means of the numerical optimization algorithm. A comparison of the results for the dummy 5% with parameters for 5 and 50% is made. Also a comparison of the results for the dummy 95% with parameters for 95 and 50% is made. Finally, in the third stage, a similar procedure is done considering the advance in the firing time of two devices from the restraint system: air-bag and pretensioner. Again the optimization algorithm is used to find the optimal parameters for the restraint system considering the occupant height 50%. In this case it is checked whether there are improvements of biomechanical indexes for the occupant size 50%, comparing with the results obtained in a conventional restraint system. Here we reach the most important aspect of this work, which is checking if the advance in firing time results in a reduction of the risk of injury also for occupants with dimensions 5% and 95%, even using a retention system sized for the occupant size 50%. Key Words: vehicle safety, vehicle frontal impact, stature, simulation, optimization
Mestrado
Materiais e Processos de Fabricação
Mestre em Engenharia Mecânica
Hamersma, H. A. (Herman Adendorff). "Longitudinal vehicle dynamics control for improved vehicle safety." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/40829.
Повний текст джерелаDissertation (MEng)--University of Pretoria, 2013.
gm2014
Mechanical and Aeronautical Engineering
unrestricted
Dowd, Garrett E. "Improving Autonomous Vehicle Safety using Communicationsand Unmanned Aerial Vehicles." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574861007798385.
Повний текст джерелаGuan, Wenyang. "Adaptive QoS control of DSRC vehicle networks for collaborative vehicle safety applications." Thesis, Swansea University, 2013. https://cronfa.swan.ac.uk/Record/cronfa42507.
Повний текст джерелаAdolfsson, Alexander, and Daniel Arrhenius. "Overseeing Intersection System for Autonomous Vehicle Guidance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254219.
Повний текст джерелаYevdokymenkova, Kateryna, and Катерина Андріївна Євдокименкова. "Autonomous transport of the future." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50582.
Повний текст джерелаThe idea of autonomous car control has existed for almost a century. However, only now advances in sensors, efficient drives, new materials, and increased computing power led to the realization of this idea
Ідея автономного управління автомобілем існує майже століття. Однак лише зараз досягнення в сенсорах, ефективних приводах, нових матеріалах та збільшеній обчислювальній потужності призвели до її реалізації.
Wang, Yuan-Fang. "Computer Vision Analysis for Vehicular Safety Applications." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596451.
Повний текст джерелаIn this paper, we present our research on using computer-vision analysis for vehicular safety applications. Our research has potential applications for both autonomous vehicles and connected vehicles. In particular, for connected vehicles, we propose three image analysis algorithms that enhance the quality of a vehicle's on-board video before inter-vehicular information exchange takes place. For autonomous vehicles, we are investigating a visual analysis scheme for collision avoidance during back up and an algorithm for automated 3D map building. These algorithms are relevant to the telemetering domain as they involve determining the relative pose between a vehicle and other vehicles on the road, or between a vehicle and its 3D driving environment, or between a vehicle and obstacles surrounding the vehicle.
Ojdanic, Milos. "SYSTEMATIC LITERATURE REVIEW OF SAFETY-RELATED CHALLENGES FOR AUTONOMOUS SYSTEMS IN SAFETY-CRITICAL APPLICATIONS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-43980.
Повний текст джерелаКниги з теми "Autonomous vehicle safety measures"
ISATA International Symposium on Automotive Technology and Automation (27th 1994 Aachen, Germany). Road and vehicle safety. Croydon: Automotive Automation, 1994.
Знайти повний текст джерелаPeters, George A. Automotive Vehicle Safety. London: Taylor & Francis Inc, 2004.
Знайти повний текст джерела1950-, Peters Barbara J., ed. Automotive vehicle safety. London: Taylor & Francis, 2002.
Знайти повний текст джерелаSociety of Automotive Engineers. Nomenclature Advisory Committee., ed. Motor vehicle safety and environmental terminology. 2nd ed. Warrendale, PA: Society of Automotive Engineers, 1989.
Знайти повний текст джерелаFEDERAL AVIATION ADMINISTRATION. Ground vehicle operations on airports. Washington, D.C. (800 Independence Ave., S.W., Washington 20591): U.S. Dept. of Transportation, Federal Aviation Administration, 2002.
Знайти повний текст джерелаBrodbeck, John E. Motor fleet safety manual. Edited by National Safety Council. 5th ed. Itasca, Ill: National Safety Council, 2010.
Знайти повний текст джерелаBrodbeck, John E., and John E. Brodbeck. Motor fleet safety manual. Edited by National Safety Council. 5th ed. Itasca, Ill: National Safety Council, 2010.
Знайти повний текст джерелаexecutive, Health and safety. Health & safety in motor vehicle repair. Sudbury: HSE Books, 1997.
Знайти повний текст джерелаHartman, Kate. Commercial vehicle safety technology and practice in Europe. Washington, D.C: Federal Highway Administration, U.S. Department of Transportation, 2000.
Знайти повний текст джерелаL, Collins Rebecca, Eiseman Elisa, and National Defense Research Institute (U.S.), eds. Understanding and reducing off-duty vehicle crashes among military personnel. Santa Monica, CA: RAND National Defense Research Institute, 2010.
Знайти повний текст джерелаЧастини книг з теми "Autonomous vehicle safety measures"
Nilsson, Petter, and Necmiye Ozay. "Provably-Correct Compositional Synthesis of Vehicle Safety Systems." In Safe, Autonomous and Intelligent Vehicles, 97–122. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97301-2_6.
Повний текст джерелаFallah, Zehra, Vinod Kumar Shukla, and Mohammad Nadeem Khalid. "Redefining Safety in Autonomous Vehicle Through Remote Teleoperation." In Computational Intelligence in Pattern Recognition, 219–30. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2543-5_19.
Повний текст джерелаFabrizi, Elisabetta, Giuseppe Oriolo, and Giovanni Ulivi. "Accurate Map Building via Fusion of Laser and Ultrasonic Range Measures." In Fuzzy Logic Techniques for Autonomous Vehicle Navigation, 257–79. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1835-2_11.
Повний текст джерелаSpriggs, John. "Developing a Safety Case for Autonomous Vehicle Operation on an Airport." In Current Issues in Safety-Critical Systems, 79–98. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0653-1_5.
Повний текст джерелаFainello, M. "Optimizing passive vehicle dynamics for active safety and autonomous driving." In Proceedings, 243–51. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18459-9_17.
Повний текст джерелаSaraoğlu, Mustafa, Qihang Shi, Andrey Morozov, and Klaus Janschek. "Virtual validation of autonomous vehicle safety through simulation-based testing." In Proceedings, 419–34. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29943-9_33.
Повний текст джерелаJiang, Zhenyu, Zhongli Wang, Xin Cui, and Chaochao Zheng. "Intelligent Safety Decision-Making for Autonomous Vehicle in Highway Environment." In Intelligent Robotics and Applications, 702–13. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89092-6_64.
Повний текст джерелаPrakash, Rishita, Himanshu Malviya, Arushi Naudiyal, Rajesh Singh, and Anita Gehlot. "An Approach to Inter-vehicle and Vehicle-to-Roadside Communication for Safety Measures." In Advances in Intelligent Systems and Computing, 1603–10. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_166.
Повний текст джерелаKuutti, Sampo, Saber Fallah, and Richard Bowden. "Safety Validation of Neural Networks." In Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects, 31–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-01502-1_4.
Повний текст джерелаMorandi, Angelica, Monica Verga, Elettra Oleari, Lorenza Gasperotti, and Paolo Fiorini. "A Methodological Framework for the Definition of Patient Safety Measures in Robotic Surgery: The Experience of SAFROS Project." In Frontiers of Intelligent Autonomous Systems, 381–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35485-4_33.
Повний текст джерелаТези доповідей конференцій з теми "Autonomous vehicle safety measures"
Alghodhaifi, Hesham, and Sridhar Lakshmanan. "Simulation-based model for surrogate safety measures analysis in automated vehicle-pedestrian conflict on an urban environment." In Autonomous Systems: Sensors, Processing and Security for Vehicles & Infrastructure 2020, edited by Michael C. Dudzik and Stephen M. Jameson. SPIE, 2020. http://dx.doi.org/10.1117/12.2558830.
Повний текст джерелаRaemy, Nicola, and Galia Kondova. "Distributed Ledger Technology in Autonomous Driving: A Security Protection Layer." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100953.
Повний текст джерелаSjaarda, Matthew, and Alain Nussbaumer. "The impact of heavy vehicle platoons on bridge traffic loads." In IABSE Congress, Ghent 2021: Structural Engineering for Future Societal Needs. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/ghent.2021.0700.
Повний текст джерелаSjaarda, Matthew, and Alain Nussbaumer. "The impact of heavy vehicle platoons on bridge traffic loads." In IABSE Congress, Ghent 2021: Structural Engineering for Future Societal Needs. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/ghent.2021.0700.
Повний текст джерелаJinzhu Wang, Jinzhu Wang, Jie Bai Jie Bai, Libo Huang Libo Huang, and Huanlei Chen Huanlei Chen. "Autonomous Driving Decision-making Based on the Combination of Deep Reinforcement Learning and Rule-based Controller." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-108.
Повний текст джерелаHassani, Vahid, Naveena Crasta, and António M. Pascoal. "Cyber Security Issues in Navigation Systems of Marine Vessels From a Control Perspective." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61771.
Повний текст джерелаOh, Kwangseok, and Kyongsu Yi. "A Longitudinal Model Based Probabilistic Fault Diagnosis Algorithm of Autonomous Vehicles Using Sliding Mode Observer." In ASME 2017 Conference on Information Storage and Processing Systems collocated with the ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/isps2017-5467.
Повний текст джерелаKretzschmar, Florian, Matthias Beggiato, and Alois Pichler. "Detection of Discomfort in Autonomous Driving via Stochastic Approximation." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002437.
Повний текст джерелаNicolás Palomares, Nicolás Palomares, Juan Manuel Belda, Sofía Iranzo Sofía Iranzo, Javier Silva Javier Silva, Begoña Mateo Begoña Mateo, José Laparra-Hernández José Laparra-Hernández, and José Solaz José Solaz. "Enhancing the acceptance of future automated vehicles through understanding the emotional state of passengers." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-117.
Повний текст джерелаCHOPPALA, SAM, POOJHITA VURTURBADARINATH, MARIA CHIERICHETTI, and FATEMEH DAVOUDI KHAKI. "APPLICATIONS OF SURROGATE FINITE ELEMENT MACHINE LEARNING APPROACH FOR STRUCTURAL MONITORING." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36284.
Повний текст джерелаЗвіти організацій з теми "Autonomous vehicle safety measures"
Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Autonomous Transport Innovation (ATI) : integration of autonomous electric vehicles into a tactical microgrid. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42160.
Повний текст джерелаWang, Shenlong, and David Forsyth. Safely Test Autonomous Vehicles with Augmented Reality. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-015.
Повний текст джерелаLever, James, Allan Delaney, Laura Ray, E. Trautman, Lynette Barna, and Amy Burzynski. Autonomous GPR surveys using the polar rover Yeti. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43600.
Повний текст джерелаPorcel Magnusson, Cristina. Unsettled Topics Concerning Coating Detection by LiDAR in Autonomous Vehicles. SAE International, January 2021. http://dx.doi.org/10.4271/epr2021002.
Повний текст джерелаRolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Integration of autonomous electric transport vehicles into a tactical microgrid : final report. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42007.
Повний текст джерелаLarkin, Lance, Thomas Carlson, William D’Andrea, Andrew Johnson, and Natalie Myers. Network development and autonomous vehicles : a smart transportation testbed at Fort Carson : project report summary and recommendations. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45941.
Повний текст джерелаDahal, Sachindra, and Jeffery Roesler. Passive Sensing of Electromagnetic Signature of Roadway Material for Lateral Positioning of Vehicle. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-039.
Повний текст джерелаSingh, Niranjan, Jone Tawaketini,, Roman Kudin, and Gerry Hamilton. Are We Building Agile Graduate Capabilities to Meet Automotive Service Industry Trends? Unitec ePress, February 2020. http://dx.doi.org/10.34074/ocds.085.
Повний текст джерелаBell, Matthew, Rob Ament, Damon Fick, and Marcel Huijser. Improving Connectivity: Innovative Fiber-Reinforced Polymer Structures for Wildlife, Bicyclists, and/or Pedestrians. Nevada Department of Transportation, September 2022. http://dx.doi.org/10.15788/ndot2022.09.
Повний текст джерелаShe, Ruifeng, and Yanfeng Ouyang. Generalized Link-Cost Function and Network Design for Dedicated Truck-Platoon Lanes to Improve Energy, Pavement Sustainability, and Traffic Efficiency. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-037.
Повний текст джерела