Relevant bibliographies by topics / Autonomous braking

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Autonomous braking'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Autonomous braking"

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Kobiela, Fanny, and Arnd Engeln. "Autonomous emergency braking." ATZautotechnology 10, no. 5 (2010): 38–43. http://dx.doi.org/10.1007/bf03247187.

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Horri, 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 (2021): 712–27. http://dx.doi.org/10.1177/03611981211056636.

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This paper proposes a mode switching supervisory controller for autonomous vehicles. The supervisory controller selects the most appropriate controller based on safety constraints and on the vehicle location with respect to junctions. Autonomous steering, throttle and deceleration control inputs are used to perform variable speed lane keeping assist, standard or emergency braking and to manage junctions, including roundabouts. Adaptive model predictive control with lane keeping assist is performed on the main roads and a linear pure pursuit inspired controller is applied using waypoints at roa
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Satyanarayana, Dr Pothuraju V. V. "Design and Implementation of an Intelligent Autonomous Braking System Using Arduino Microcontroller." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02997.

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Abstract - This paper presents the design and development of an autonomous electromagnetic braking system utilizing Arduino microcontroller technology and ultrasonic sensing. The proposed model detects obstacles in the vehicle path and triggers braking automatically through an electromagnetic braking unit powered via a relay module. This frictionless braking mechanism enhances vehicular safety, especially in robotic and automated systems by eliminating reliance on human response time. The system integrates low-cost components and offers a scalable solution for future intelligent transportation
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Li, 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.

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To realize the autonomous driving of a certain tracked vehicle, the paper has a research on its steering and braking control technology. According to the steering and braking device’s structure and work principle on the original vehicle, the paper design an electronic pneumatic steering and braking control system before analyzing the design request of the system and introduce the system’s work principle. Applying this system to the original vehicle’s autonomous transformation, a test was conducted on the vehicle, the test prove that the electronic pneumatic steering and braking control system
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Hwang, Myeong Hwan, Gye Seong Lee, Eugene Kim, et al. "Regenerative Braking Control Strategy Based on AI Algorithm to Improve Driving Comfort of Autonomous Vehicles." Applied Sciences 13, no. 2 (2023): 946. http://dx.doi.org/10.3390/app13020946.

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Recent studies on autonomous vehicles focus on improving driving efficiency and ignore driving comfort. Because acceleration and jerk affect driving comfort, we propose a comfort regenerative braking system (CRBS) that uses artificial neural networks as a vehicle-control strategy for braking conditions. An autonomous vehicle driving comfort is mainly determined by the control algorithm of the vehicle. If the passenger’s comfort is initially predicted based on acceleration and deceleration limits, the control strategy algorithm can be adjusted, which would be helpful to improve ride comfort in
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Vaibhav, 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.

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The most frequent cause of vehicle accidents (car, bike, truck, etc.) is the unexpected existence of barriers while driving. An automated braking system will assist and minimize such collisions and save the driver and other people’s lives and have a substantial influence on driver safety and comfort. An autonomous braking system is a complicated mechatronic system that incorporates a front-mounted ultrasonic wave emitter capable of creating and transmitting ultrasonic waves. In addition, a front-mounted ultrasonic receiver is attached to gather ultrasonic wave signals that are reflected. The d
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Rahman, 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).

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Road fatality and injury are a worldwide issue in the transportation industry. Road traffic accidents are becoming increasingly significant due to higher mortality, injury, and disability across the world, particularly in developing and transitional economies. Eighty-five percent of the total road traffic fatalities occur in developing nations, with Asia-Pacific accounting for roughly half of them. A variety of factors influence road safety, including technological, physical, social, and cultural factors. The purpose of this research was to design an autonomous braking system (AuBS). Using the
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Rosén, 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 (2010): 1949–57. http://dx.doi.org/10.1016/j.aap.2010.05.018.

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Binshuang, 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.

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As the main operationality of AVs, the braking property is directly related to traffic safety. Major traffic accidents are often related to the braking distance, the side slip and hydroplaning during the emergency braking, which depends on the pavement skid resistance. Therefore, the estimation to relate AVs braking distance requirements with pavement peak friction coefficient to ensure a safe driving condition on expressway is of high practical significance. In this paper, the effect of AVs on braking performance parameters and dynamic friction on tire-pavement interaction are investigated. B
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Badea, 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 (2022): 012033. http://dx.doi.org/10.1088/1757-899x/1235/1/012033.

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Abstract An automatic braking system is an important future step in attending the autonomous vehicle. This system increases the active safety of a vehicle, significantly reducing road accidents, and lowering the effects of accidents. The paper will present the steps that will develop the autonomous braking systems in conformity with the Society of Automotive Engineers (SAE) from the USA. As well the paper will present the modelling and simulating of the automatic braking systems of a vehicle from the middle class using LMS Amesim software.
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Dissertations / Theses on the topic "Autonomous braking"

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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.

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The trend of more advanced driver-assistance features and the development toward autonomous vehicles enable new possibilities in the area of active safety. With more information available in the vehicle about the surrounding traffic and the road ahead, there is the possibility of improved active-safety systems that make use of this information for stability control in safety-critical maneuvers. Such a system could adaptively make a trade-off between controlling the longitudinal, lateral, and rotational dynamics of the vehicle in such a way that the risk of collision is minimized. To support th
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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.

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Le comportement d'un véhicule autonome peut être affecté par divers facteurs internes tels que défaillance du système de bord, capteur, etc., ou par des facteurs externes tels que manœuvres risquées de la part de voisins immédiats menaçant une collision, des changements brusques de l'état des routes, etc. Cela peut entraîner une défaillance de la manœuvre de coordination, telle que le croisement de plusieurs véhicules à une intersection. Dans de telles situations, lorsque les conditions changent de manière dynamique et que la condition de fonctionnement nominale est violée par des influences i
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Haglund, Sebastian, та 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.

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A critical maneuver for a heavy vehicle is braking with different friction on the left and right hand side of the vehicle, called μ-split. This results in an unwanted yaw torque acting on the vehicle. During this situation, the driver maintains the lateral stability and follows the desired path by corrective steering. In anautonomous heavy vehicle the system must handle this situation by itself. The purpose of this thesis is to analyze how an autonomous vehicle can detect a μ-split situation and then use steering control to maintain its path and stability. Two methods for detecting a μ-split s
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Bastien, 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.

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This thesis comprises a programme of work investigating the use of active human computer models and the effects of forthcoming automotive safety features on vehicle occupants; more specifically, their unbelted kinematics and sustained injuries. Since Hybrid III anthropometric crash test dummies are unable to replicate human occupant kinematics under severe braking, the thesis highlighted the need to research the most appropriate occupant computer model to simulate active safety scenarios. The first stage of the work focussed on occupant kinematics and developed unique human occupant reflex res
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Girbés, 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.

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[EN] Nowadays, there are many electronic products that incorporate elements and features coming from the research in the field of mobile robotics. For instance, the well-known vacuum cleaning robot Roomba by iRobot, which belongs to the field of service robotics, one of the most active within the sector. There are also numerous autonomous robotic systems in industrial warehouses and plants. It is the case of Autonomous Guided Vehicles (AGVs), which are able to drive completely autonomously in very structured environments. Apart from industry and consumer electronics, within the automotive fiel
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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.

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Objective: The Vision Zero initiative pursues the goal of eliminating all traffic fatalities and severe injuries. Today’s advanced driver assistance systems (ADAS) are an important part of the strategy toward Vision Zero. In Germany in 2018 more than 26,000 people were killed or severely injured by traffic accidents on motorways and rural roads due to road accidents. Focusing on collision avoidance, a simulative evaluation can be the key to estimating the performance of state-of-the-art ADAS and identifying resulting potentials for system improvements and future systems. This project deals wi
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Jentsch, 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.

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Durch das I-FAS der TU Chemnitz wurde im Rahmen des AKTIV-Projektes eine Probandenstudie zur Akzeptanz von Systemausprägungen einer Aktiven Gefahrenbremsung (AGB) bei PKW durchgeführt. Unter Verwendung eines stehenden Hindernisses wurden sechs Systemausprägungen verglichen, die von den AGB-Partnern in zwei Versuchsträger implementiert wurden. Die sechs Systemausprägungen werden nahezu identisch bewertet, solange Probanden keine Vergleichsmöglichkeit zu anderen Systemausprägungen haben. Wenn es zu einem Fahrereingriff kommt, ist der Eingriffszeitpunkt des Fahrers unabhängig von der gefahrenen S
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Jentsch, 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.

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Fahrerassistenzsysteme (FAS), wie zum Beispiel die „Aktive Gefahrenbremsung“, sollen dazu beitragen, das Fahren sicherer zu machen und die Anzahl an Unfällen und Verunglückten im Straßenverkehr weiter zu senken. Bei der Entwicklung von FAS muss neben der funktionalen Zuverlässigkeit des FAS sichergestellt werden, dass der Fahrer die Assistenzfunktion versteht und fehlerfrei benutzen kann. Zur Bestimmung geeigneter Systemauslegungen kommen in der Entwicklung Probandenversuche zum Einsatz, bei denen die zukünftigen Nutzer das FAS erleben und anschließend beurteilen. In dieser Arbeit wird die Eig
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Lucci, Cosimo. "Feasibility study of motorcycle autonomous emergency braking system." Doctoral thesis, 2021. http://hdl.handle.net/2158/1245260.

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Over the last years, the development of new technologies and active safety systems for on-road vehicles contributed to mitigate the burden of road traffic crashes. This, unfortunately, did not fully apply to Powered Two-Wheelers (PTWs), for which the technological development was slowed down by their complex dynamics, smaller research interests and lower vehicle cost. Despite PTWs have one of the highest rates of crashes per kilometre travelled, their distribution is growing all over the world, thanks to their affordability and their agility in congested traffic environments, causing every yea
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SAVINO, GIOVANNI. "Development of the Autonomous Braking for Powered Two Wheeler Application." Doctoral thesis, 2009. http://hdl.handle.net/2158/596158.

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Book chapters on the topic "Autonomous braking"

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Paul Robertson, G., and Rammohan A. "Semi-autonomous Vehicle Transmission and Braking Systems." In Advances in Automotive Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5947-1_4.

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Zhu, Yueying. "Design and Control of Regenerative Braking System." In Recent Advancements in Connected Autonomous Vehicle Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4851-9_5.

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Fork, Thomas, Francesco Camozzi, Xiao-Yu Fu, and Francesco Borrelli. "Predictive Braking on a Nonplanar Road." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_90.

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AbstractWe present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. Our main contribution is a methodology to consider friction and road contact safety on general smooth road geometry. We use this to develop an active safety system to preemptively reduce vehicle speed for upcoming road geometry, such as off-camber turns. Our system may be used for human-driven or autonomous vehicles and we demonstrate it with a simulated ADAS scenario. We show that loss of control due to driver error on nonplanar roads can be mitigated by our approach.
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Paul Robertson, G., and A. Rammohan. "Correction to: Semi-autonomous Vehicle Transmission and Braking Systems." In Advances in Automotive Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5947-1_21.

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Ikram, Khairul, Wan Khairunizam, A. B. Shahriman, et al. "Analysis of Human Behavior During Braking for Autonomous Electric Vehicles." In Engineering Applications for New Materials and Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72697-7_37.

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Li, 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. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67514-1_16.

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Tokay, Dorukhan, Volkan Bekir Yangın, and Özgen Akalın. "Viability of Differential Braking Based Steering Redundancy for an Autonomous Vehicle." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66968-2_50.

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Hu, Donghai. "Braking Force Distribution Control of Hybrid Brake-By-Wire System." In Design and Control of Hybrid Brake-by-Wire System for Autonomous Vehicle. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8946-8_5.

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Papadopoulos, Alexandros, Georgios Spanos, Jordi Pont, et al. "Correlation of Shared Automated Vehicles Real Traffic Performance and Passengers’ Acceptance Data." In Lecture Notes in Mobility. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71793-2_11.

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AbstractThe perception of comfort and safety among passengers of Autonomous Vehicles (AVs) is crucial and significantly influences their adoption in current Public Transport systems. It is essential to align the objective perception with an analysis of vehicle performance data to identify vulnerabilities and factors affecting passenger comfort and safety. This paper presents the first comprehensive correlation between objective and subjective data from autonomous fleets in three well-established pilot locations (Graz, Madrid, Linköping), each using different technologies and experiencing varyi
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Psaltis, Eleftherios, Maria Guitart Corominas, Johannes Wimmer, Elena Zhelondz, Florian Waimer, and Amit Mahale. "Autonomous Driving Implication on the Reliability of Modern Braking and Steering Systems." In Proceedings. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68160-2_5.

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Conference papers on the topic "Autonomous braking"

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Ataur, Rahman Md, M. Habibullah, Sany Ihsan, Mahbubur Rashid, and Salmiah Ahmed. "Autonomous Servo-Electro Braking System for High-Speed EV." In 2024 9th International Conference on Mechatronics Engineering (ICOM). IEEE, 2024. http://dx.doi.org/10.1109/icom61675.2024.10652310.

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Barik, Pradip Kumar, Yash Jogani, and Nil Faldu. "ADBS: Automatic Dynamic Braking System for Semi-autonomous Vehicles." In 2025 International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM). IEEE, 2025. https://doi.org/10.1109/setcom64758.2025.10932542.

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K, Ananthi, Giridhar Babu S N, Aaisf H, Dharun R, and Henry A E. "Internet of Things Enabled Autonomous Braking Control for Electric Vehicles." In 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). IEEE, 2025. https://doi.org/10.1109/icima64861.2025.11074043.

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Vasudevan, B., P. K. Dhal, D. Sethuraman, N. Mohankumar, S. Velmurugan, and T. R. GaneshBabu. "Cloud-Integrated Deep Learning for Predictive Emergency Braking in Autonomous Vehicles." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10864179.

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Sullivan, Benjamin, Jingjing Jiang, Georgios Mavros, and Wen-Hua Chen. "Supervisory Control of Autonomous Emergency Braking with Active Learning for Active Safety." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919997.

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Yang, Licheng, and Yahao Bai. "An Autonomous Braking System for Formula Student Racing Based on STM32 Microcontroller." In 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE, 2025. https://doi.org/10.1109/iseae64934.2025.11042164.

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Jukić, Ana Petra, Ana Šelek, Marija Seder, and Ivana Podnar Žarko. "Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control." In 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2024. http://dx.doi.org/10.23919/splitech61897.2024.10612577.

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Ribeiro, Ricardo, Catarina Gonçalves, and Nuno Pombo. "Elevating Traffic Safety: Insights into Autonomous Emergency Braking Systems in Varied Highway Environments." In 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C). IEEE, 2025. https://doi.org/10.1109/icsa-c65153.2025.00084.

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Ning, Haijing, Yaxin Wei, Dier An, Ting Li, Shumei Liu, and Yisheng An. "Qualitative Fault Diagnosis of Autonomous Emergency Braking System Based on Partially Observable Petri Nets." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919499.

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Han, Jinheng, Xuefeng Han, and Henglai Wei. "The consensus control for cooperative braking of vehicle platoon under Denial of Service Attack." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11051516.

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Reports on the topic "Autonomous braking"

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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, 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 potentia
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Bao, Jieyi, Xiaoqiang Hu, Cheng Peng, et al. Advancing INDOT’s Friction Test Program for Seamless Coverage of System: Pavement Markings, Typical Aggregates, Color Surface Treatment, and Horizontal Curves. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317734.

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Various highway projects, roadway safety, and maintenance all hinge on pavement friction. INDOT's pavement friction test program has played a crucial role in addressing issues like wet pavement crash reduction, durable pavements surface friction, and sustainable aggregates. However, changes in the transportation sector, allied industries, societal needs, and economics present unique challenges that require proactive solutions. First, the existing field friction testing method, which uses a locked wheel skid tester (LWST) is limited to straight, flat pavement sections and excludes crash-prone a
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