Academic literature on the topic 'Autonomous braking'
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Journal articles on the topic "Autonomous braking"
Kobiela, Fanny, and Arnd Engeln. "Autonomous emergency braking." ATZautotechnology 10, no. 5 (September 2010): 38–43. http://dx.doi.org/10.1007/bf03247187.
Full textHorri, Nadjim, Olivier Haas, Sheng Wang, Mathias Foo, and Manuel Silverio Fernandez. "Mode Switching Control Using Lane Keeping Assist and Waypoints Tracking for Autonomous Driving in a City Environment." Transportation Research Record: Journal of the Transportation Research Board 2676, no. 3 (November 13, 2021): 712–27. http://dx.doi.org/10.1177/03611981211056636.
Full textVaibhav, R., N. Amutha Prabha, V. Indragandhi, M. Bharathidasan, S. Vasantharaj, and J. Sam Alaric. "Autonomous Braking System Using Linear Actuator." Journal of Sensors 2022 (November 22, 2022): 1–8. http://dx.doi.org/10.1155/2022/7707600.
Full textRahman, Ataur, and Sany Izan Ihsan. "Autonomous Braking System: for Automobile Use." MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY 9 (December 23, 2021): 01–06. http://dx.doi.org/10.47981/j.mijst.09(02)2021.316(01-06).
Full textRosén, Erik, Jan-Erik Källhammer, Dick Eriksson, Matthias Nentwich, Rikard Fredriksson, and Kip Smith. "Pedestrian injury mitigation by autonomous braking." Accident Analysis & Prevention 42, no. 6 (November 2010): 1949–57. http://dx.doi.org/10.1016/j.aap.2010.05.018.
Full textHwang, Myeong Hwan, Gye Seong Lee, Eugene Kim, Hyeon Woo Kim, Seungha Yoon, Teressa Talluri, and Hyun Rok Cha. "Regenerative Braking Control Strategy Based on AI Algorithm to Improve Driving Comfort of Autonomous Vehicles." Applied Sciences 13, no. 2 (January 10, 2023): 946. http://dx.doi.org/10.3390/app13020946.
Full textLi, Guo Qiang, and Xing Ye Wang. "Research on Electronic Pneumatic Steering and Braking Control Technology for Autonomous Tracked Vehicles." Applied Mechanics and Materials 577 (July 2014): 359–63. http://dx.doi.org/10.4028/www.scientific.net/amm.577.359.
Full textBinshuang, Zheng, Chen Jiaying, Zhao Runmin, and Huang Xiaoming. "Skid resistance demands of asphalt pavement during the braking process of autonomous vehicles." MATEC Web of Conferences 275 (2019): 04002. http://dx.doi.org/10.1051/matecconf/201927504002.
Full textBadea, Gabriel, Marius Toma, Dan Alexandru Micu, Gheorghe Frăţilă, and Ştefan Saragea. "Modelling and simulation automatic braking systems for vehicles." IOP Conference Series: Materials Science and Engineering 1235, no. 1 (March 1, 2022): 012033. http://dx.doi.org/10.1088/1757-899x/1235/1/012033.
Full textWHEATLEY, Greg, and Robiul Islam RUBEL. "AN AUTONOMOUS BRAKING CONTROL SYSTEM FOR A 2017 YAMAHA GRIZZLY 700." Scientific Journal of Silesian University of Technology. Series Transport 115 (June 30, 2022): 211–26. http://dx.doi.org/10.20858/sjsutst.2022.115.15.
Full textDissertations / Theses on the topic "Autonomous braking"
Patel, Raj Haresh. "Autonomous cars' coordination among legacy vehicles applied to safe braking." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS468.
Full textThe behaviour of an autonomous vehicle can be impacted by various internal factors like onboard system failure, sensor failure, etc. or by external factors like risky maneuvers by immediate neighbors threatening a collision, sudden change in road conditions, etc. This can result in a failure of coordination maneuver like multi-vehicle intersection clearance. In such situations when conditions dynamically change and the nominal operational condition is violated by internal or external influences, an autonomous vehicle must have the capability to reach the minimal risk condition. Bringing the vehicle to a halt is one of the ways to achieve minimal risk condition. This thesis introduces a safe stop algorithm which generates controls for multiple autonomous vehicles considering the presence of legacy manually driven vehicles on the road. A Model Predictive Control based algorithm is proposed which is robust to errors in communication, localization, control implementation, and model mismatch. Collisions avoided and discomfort faced by the driver are two evaluation parameters. Simulations show that the robust controller under the influence of errors can perform as well as the non-robust controller in the absence of these errors
Fors, Victor. "Optimal Braking Patterns and Forces in Autonomous Safety-Critical Maneuvers." Licentiate thesis, Linköpings universitet, Fordonssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147719.
Full textHaglund, Sebastian, and Henrik Johansson. "Steering Control During μ-split Braking for an Autonomous Heavy Road Vehicle." Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166962.
Full textBastien, C. "The prediction of kinematics and injury criteria of unbelted occupants under autonomous emergency braking." Thesis, Coventry University, 2014. http://curve.coventry.ac.uk/open/items/a75e046a-3ffb-4474-8b28-e3c19ffbb3b5/1.
Full textGirbés, Juan Vicent. "Clothoid-based Planning and Control in Intelligent Vehicles (Autonomous and Manual-Assisted Driving)." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/65072.
Full text[ES] En la actualidad se comercializan infinidad de productos de electrónica de consumo que incorporan elementos y características procedentes de avances en el sector de la robótica móvil. Por ejemplo, el conocido robot aspirador Roomba de la empresa iRobot, el cual pertenece al campo de la robótica de servicio, uno de los más activos en el sector. También hay numerosos sistemas robóticos autónomos en almacenes y plantas industriales. Es el caso de los vehículos autoguiados (AGVs), capaces de conducir de forma totalmente autónoma en entornos muy estructurados. Además de en la industria y en electrónica de consumo, dentro del campo de la automoción también existen dispositivos que dotan de cierta inteligencia al vehículo, derivados la mayoría de las veces de avances en robótica móvil. De hecho, cada vez con mayor frecuencia los vehículos incorporan sistemas avanzados de asistencia al conductor (ADAS por sus siglas en inglés), tales como control de navegación con regulación automática de velocidad, asistente de cambio de carril y adelantamiento, aparcamiento automático o aviso de colisión, entre otras prestaciones. No obstante, pese a todos los avances siguen existiendo problemas sin resolver y que pueden mejorarse. La colisión y el vuelco destacan entre los accidentes más comunes en vehículos con conducción tanto manual como autónoma. De hecho, la dificultad de conducir en entornos desestructurados compartiendo el espacio con otros agentes móviles, tales como coches o personas, hace casi imposible garantizar la conducción sin accidentes. Es por ello que la búsqueda de técnicas para mejorar la seguridad en vehículos inteligentes, ya sean de conducción autónoma o manual asistida, es un tema que siempre está en auge en la comunidad robótica. La presente tesis se centra en el diseño de herramientas y técnicas de planificación y control de vehículos inteligentes, para la mejora de la seguridad y el confort. La disertación se ha dividido en dos partes, la primera sobre conducción autónoma y la segunda sobre conducción manual asistida. El principal nexo de unión es el uso de clotoides como elemento de generación de trayectorias y detección de colisiones. Entre los problemas que se resuelven destacan la evitación de obstáculos, la evitación de vuelcos y la asistencia avanzada al conductor para evitar colisiones con peatones.
[CAT] En l'actualitat es comercialitzen infinitat de productes d'electrònica de consum que incorporen elements i característiques procedents d'avanços en el sector de la robòtica mòbil. Per exemple, el conegut robot aspirador Roomba de l'empresa iRobot, el qual pertany al camp de la robòtica de servici, un dels més actius en el sector. També hi ha nombrosos sistemes robòtics autònoms en magatzems i plantes industrials. És el cas dels vehicles autoguiats (AGVs), els quals són capaços de conduir de forma totalment autònoma en entorns molt estructurats. A més de en la indústria i en l'electrònica de consum, dins el camp de l'automoció també existeixen dispositius que doten al vehicle de certa intel·ligència, la majoria de les vegades derivats d'avanços en robòtica mòbil. De fet, cada vegada amb més freqüència els vehicles incorporen sistemes avançats d'assistència al conductor (ADAS per les sigles en anglés), com ara control de navegació amb regulació automàtica de velocitat, assistent de canvi de carril i avançament, aparcament automàtic o avís de col·lisió, entre altres prestacions. No obstant això, malgrat tots els avanços segueixen existint problemes sense resoldre i que poden millorar-se. La col·lisió i la bolcada destaquen entre els accidents més comuns en vehicles amb conducció tant manual com autònoma. De fet, la dificultat de conduir en entorns desestructurats compartint l'espai amb altres agents mòbils, tals com cotxes o persones, fa quasi impossible garantitzar la conducció sense accidents. És per això que la recerca de tècniques per millorar la seguretat en vehicles intel·ligents, ja siguen de conducció autònoma o manual assistida, és un tema que sempre està en auge a la comunitat robòtica. La present tesi es centra en el disseny d'eines i tècniques de planificació i control de vehicles intel·ligents, per a la millora de la seguretat i el confort. La dissertació s'ha dividit en dues parts, la primera sobre conducció autònoma i la segona sobre conducció manual assistida. El principal nexe d'unió és l'ús de clotoides com a element de generació de trajectòries i detecció de col·lisions. Entre els problemes que es resolen destaquen l'evitació d'obstacles, l'evitació de bolcades i l'assistència avançada al conductor per evitar col·lisions amb vianants.
Girbés Juan, V. (2016). Clothoid-based Planning and Control in Intelligent Vehicles (Autonomous and Manual-Assisted Driving) [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/65072
TESIS
Stark, Lukas, Michael Düring, Stefan Schoenawa, Jan Enno Maschke, and Cuong Manh Do. "Quantifying Vision Zero: Crash avoidance in rural and motorway accident scenarios by combination of ACC, AEB, and LKS projected to German accident occurrence." Taylor & Francis, 2019. https://publish.fid-move.qucosa.de/id/qucosa%3A72241.
Full textJentsch, Martin, Philipp Lindner, Birgit Spanner-Ulmer, Gerd Wanielik, and Josef F. Krems. "Nutzerakzeptanz von Aktiven Gefahrenbremsungen bei statischen Zielen." Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-150054.
Full textJentsch, Martin. "Eignung von objektiven und subjektiven Daten im Fahrsimulator am Beispiel der Aktiven Gefahrenbremsung - eine vergleichende Untersuchung." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-142603.
Full textLucci, Cosimo. "Feasibility study of motorcycle autonomous emergency braking system." Doctoral thesis, 2021. http://hdl.handle.net/2158/1245260.
Full textSAVINO, GIOVANNI. "Development of the Autonomous Braking for Powered Two Wheeler Application." Doctoral thesis, 2009. http://hdl.handle.net/2158/596158.
Full textBook chapters on the topic "Autonomous braking"
Paul Robertson, G., and Rammohan A. "Semi-autonomous Vehicle Transmission and Braking Systems." In Advances in Automotive Technologies, 29–38. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5947-1_4.
Full textZhu, Yueying. "Design and Control of Regenerative Braking System." In Recent Advancements in Connected Autonomous Vehicle Technologies, 157–214. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4851-9_5.
Full textPaul Robertson, G., and A. Rammohan. "Correction to: Semi-autonomous Vehicle Transmission and Braking Systems." In Advances in Automotive Technologies, C1. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5947-1_21.
Full textIkram, Khairul, Wan Khairunizam, A. B. Shahriman, D. Hazry, Zuradzman M. Razlan, Hasri Haris, Hafiz Halin, and Chin S. Zhe. "Analysis of Human Behavior During Braking for Autonomous Electric Vehicles." In Engineering Applications for New Materials and Technologies, 453–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72697-7_37.
Full textLi, Lian, Zhan Xu, Jinhui Chen, Ruxin Zhi, and Mingzhe Huang. "Edge Computing Based Two-Stage Emergency Braking in Autonomous Driving." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 196–206. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67514-1_16.
Full textHu, Donghai. "Braking Force Distribution Control of Hybrid Brake-By-Wire System." In Design and Control of Hybrid Brake-by-Wire System for Autonomous Vehicle, 79–103. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8946-8_5.
Full textKapse, Ritesh, and S. Adarsh. "Implementation of European NCAP Standard Autonomous Emergency Braking Scenarios Using Two Leddar M16 Sensors." In Advances in Intelligent Systems and Computing, 482–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30465-2_53.
Full textGuo, Xiaoyi, and Changhao Piao. "Sensing strategy of autonomous emergency braking based on V2X in non-line-of-sight scenarios." In Advances in Urban Engineering and Management Science Volume 1, 258–62. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003305026-34.
Full textvan Ratingen, Michiel R. "Consumer Ratings and Their Role in Improving Vehicle Safety." In The Vision Zero Handbook, 755–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_30.
Full textvan Ratingen, Michiel R. "Consumer Ratings and Their Role in Improving Vehicle Safety." In The Vision Zero Handbook, 1–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_30-1.
Full textConference papers on the topic "Autonomous braking"
Esquer Molina, Álvaro, and Jordi Bargallo. "Braking Requirements for Optimizing Autonomous Emergency Braking Performance." In Brake Colloquium & Exhibition - 37th Annual. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2019. http://dx.doi.org/10.4271/2019-01-2127.
Full textWinner, Hermann, Jens Hoffmann, and Sébastien Pla. "Requirements and Test Cycles for Brake Systems of Autonomous Vehicle Concepts on the Example of an Autonomous Shuttle." In EuroBrake 2021. FISITA, 2021. http://dx.doi.org/10.46720/eb2021-ibc-006.
Full textGuckes, Lennart, Hermann Winner, Jens Hoffmann, and Sébastien Pla. "Requirements and Test Cycles for Brake Systems of Autonomous Vehicle Concepts on the Example of an Autonomous Shuttle." In EuroBrake 2021. FISITA, 2021. http://dx.doi.org/10.46720/6313176eb2021-ibc-006.
Full textMartin, Peter. "Autonomous Intelligent Cruise Control Incorporating Automatic Braking." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/930510.
Full textKissai, Moad, Anh-Lam Do, Xavier Mouton, and Bruno Monsuez. "Autonomous Evasive Steering with Differential Braking Backup." In 2020 20th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2020. http://dx.doi.org/10.23919/iccas50221.2020.9268324.
Full textChae, Hyunmin, Chang Mook Kang, ByeoungDo Kim, Jaekyum Kim, Chung Choo Chung, and Jun Won Choi. "Autonomous braking system via deep reinforcement learning." In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017. http://dx.doi.org/10.1109/itsc.2017.8317839.
Full textSiddiqui, Omair, Nicholas Famiglietti, Benjamin Nguyen, Ryan Hoang, and Jon Landerville. "Empirical Study of the Braking Performance of Pedestrian Autonomous Emergency Braking (P-AEB)." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0878.
Full textJeon, Sangduck, Gyoungeun Kim, and Byeongwoo Kim. "Braking Performance Improvement Method for V2V Communication-Based Autonomous Emergency Braking at Intersections." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/ijdta.2015.86.05.
Full textJeon, Sangduck, Gyoungeun Kim, and Byeongwoo Kim. "Braking Performance Improvement Method for V2V Communication-Based Autonomous Emergency Braking at Intersections." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.86.05.
Full textSorrentino, Gennaro, Luca Danese, Salvatore Circosta, Stefano Feraco, Irfan Khan, Sara Luciani, Angelo Bonfitto, and Nicola Amati. "Remote Emergency Braking System for Autonomous Racing Electric Vehicles." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67426.
Full textReports on the topic "Autonomous braking"
Kulhandjian, Hovannes. AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2127.
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