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Journal articles on the topic 'Autonomous braking'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

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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3

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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5

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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8

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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9

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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10

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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Li, Tao, Shuo Zhang, Gang Xiao, Minqi Wang, Hanwen Zhong, and Jianghua Feng. "Brake Instability Dynamic Model and Active Control Strategy for a Multiunit Articulated Rubber-Wheel Autonomous Rail Rapid Transit System." Sustainability 14, no. 21 (2022): 14531. http://dx.doi.org/10.3390/su142114531.

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Due to the particularity of the structure, the dynamic properties of multiunit articulated rubber-wheel autonomous rail rapid transit system are very complex, which increases the difficulty of studying its braking stability. In this paper, a dynamic analysis model for the emergency braking of a multiunit articulated rubber-wheel autonomous rail rapid transit system is established by introducing the axle load transfer, suspension deformation compatibility equation, articulation force relationship equations, etc. Based on an in-depth analysis of the risks of the lateral swing instability and the

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12

WHEATLEY, 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.

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Weed control is an important issue for environmental protection all around the world. Traditional hand weed control is laborious whereas chemical control is costly and a threat to the atmosphere. A chemical patch weed control system is an optimized system but lacks cheap technical equipment. This research outlines a design process and test of a braking system that can be applied during the designing of an autonomous braking system for a 2017 Yamaha Grizzly 700. The system is intended to be used as an autonomous weed chemical spraying. A bolt-on approach that did not require any manipulation of

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13

Min, Kyunghan, Gyubin Sim, Seongju Ahn, Inseok Park, Seungjae Yoo, and Jeamyoung Youn. "Multi-Level Deceleration Planning Based on Reinforcement Learning Algorithm for Autonomous Regenerative Braking of EV." World Electric Vehicle Journal 10, no. 3 (2019): 57. http://dx.doi.org/10.3390/wevj10030057.

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A smart regenerative braking system, which is an advanced driver assistance system of electric vehicles, automatically controls the regeneration torque of the electric motor to brake the vehicle by recognizing the deceleration conditions. Thus, this autonomous braking system can provide driver convenience and energy efficiency by suppressing the frequent braking of the driver brake pedaling. In order to apply this assistance system, a deceleration planning algorithm should guarantee the safety deceleration under diverse driving situations. Furthermore, the planning algorithm suppresses a sense

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Muzalevskiy, A. R., E. V. Druian, M. M. Kopichev, V. V. Putov, T. L. Rusyaeva, and M. A. Chernyshev. "Autonomous Runway Friction Coefficient Tester." LETI Transactions on Electrical Engineering & Computer Science 15, no. 7 (2022): 73–81. http://dx.doi.org/10.32603/2071-8985-2022-15-7-73-81.

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The paper describes an autonomous friction coefficient tester with an electromechanical braking device of the measuring wheel. Its structure is given and the computer vision system operation is described.

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N, Nagendran, Rani K S, Punitha P, Vaishnav V P, Balaji V, and Na nagendran@gmail com S. "Reactive Braking System." International Journal of Engineering & Technology 7, no. 3.34 (2018): 372. http://dx.doi.org/10.14419/ijet.v7i3.34.19229.

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This paper is based on the simplifying technique of the existing technology called Autonomous Emergency Braking (AEB) by using a simple electronic setup which can be easily installed in all the existing four-wheelers without changing its existing working system. By using this technology, the number of accidents due to human errors can be avoided in large scale for both the drivers and the pedestrians. This project aims to reduce the errors caused by the improper braking of the driver.

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16

Garrosa, María, Ester Olmeda, Sergio Fuentes del Toro, and Vicente Díaz. "Holistic Vehicle Instrumentation for Assessing Driver Driving Styles." Sensors 21, no. 4 (2021): 1427. http://dx.doi.org/10.3390/s21041427.

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Nowadays, autonomous vehicles are increasing, and the driving scenario that includes both autonomous and human-driven vehicles is a fact. Knowing the driving styles of drivers in the process of automating vehicles is interest in order to make driving as natural as possible. To this end, this article presents a first approach to the design of a controller for the braking system capable of imitating the different manoeuvres that any driver performs while driving. With this aim, different experimental tests have been carried out with a vehicle instrumented with sensors capable of providing real-t

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17

Kobiela, Fanny, and Arnd Engeln. "Autonomous Emergency Braking Studies on Driver Behaviour." Auto Tech Review 1, no. 8 (2012): 34–38. http://dx.doi.org/10.1365/s40112-012-0106-9.

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18

Milanés, V., C. González, J. E. Naranjo, E. Onieva, and T. De Pedro. "Electro-hydraulic braking system for autonomous vehicles." International Journal of Automotive Technology 11, no. 1 (2010): 89–95. http://dx.doi.org/10.1007/s12239-010-0012-6.

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19

Kobiela, Fanny, and Arnd Engeln. "Autonomous emergency braking studies on driver behaviour." ATZ worldwide 112, no. 10 (2010): 4–8. http://dx.doi.org/10.1007/bf03225144.

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20

Abdullah, Mohammed Fadhl, Gehad Ali Qasem, and Mazen Farid. "An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping." World Electric Vehicle Journal 16, no. 7 (2025): 400. https://doi.org/10.3390/wevj16070400.

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This study explores the design and implementation of a control system integrating the anti-lock braking system (ABS) with frequency-modulated continuous wave (FMCW) radar technology to enhance safety and performance in autonomous vehicles. The proposed system employs a hybrid fuzzy logic controller (FLC) and proportional-integral-derivative (PID) controller to improve braking efficiency and vehicle stability under diverse driving conditions. Simulation results showed significant enhancements in stopping performance across various road conditions. The integrated system exhibited a marked improv

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21

Zheng, Binshuang, Xiaoming Huang, Junyao Tang, et al. "Evaluation on Braking Stability of Autonomous Vehicles Running along Curved Sections Based on Asphalt Pavement Adhesion Properties." Journal of Advanced Transportation 2022 (May 29, 2022): 1–20. http://dx.doi.org/10.1155/2022/7348554.

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As the main objective influencing factor on the brake safety of autonomous vehicles, pavement texture information is directly related to road surface antiskid performance. However, in the brake system of autonomous vehicles, the influence of road surface adhesion characteristics on braking stability is seldomly considered. To study the braking stability of autonomous vehicles on curved sections under different road conditions, the advanced close-range photogrammetry system was utilized to extract the road surface texture information. Thereafter, the power spectral density (PSD) of the road sur

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22

Ezawa, Kazuhiro, Pongsathorn Raksincharoensak, and Masao Nagai. "Hazard Anticipatory Autonomous Braking Control System Based on 2-D Pedestrian Motion Prediction." Journal of Robotics and Mechatronics 27, no. 6 (2015): 636–44. http://dx.doi.org/10.20965/jrm.2015.p0636.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/05.jpg"" width=""300"" /> The focused scenario</div>This paper discusses 2-dimensional (2-D) pedestrian motion prediction and autonomous braking control for enhancing the collision avoidance performance of an active safety system. The paper targets a typical scenario involving a pedestrian walking toward a parked vehicle on a crowded urban road. The pedestrian is not expected to continue walking in a straight line. Conventional first-order motion prediction accuracy alone is not enough to predict t

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23

Lai, Fei, and Xiaoyu Wang. "Enhancing Autonomous Vehicle Stability through Pre-Emptive Braking Control for Emergency Collision Avoidance." Applied Sciences 13, no. 24 (2023): 13219. http://dx.doi.org/10.3390/app132413219.

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A pre-emptive braking control method is proposed to improve the stability of autonomous vehicles during emergency collision avoidance, aiming to imitate the realistic human driving experience. A linear model predictive control is used to derive the front wheel steering angle to track a predefined fifth-degree polynomial trajectory. Based on a two-degrees-of-freedom (DOF) vehicle dynamics model, the maximum stable vehicle speed during collision avoidance can be determined. If the actual vehicle speed exceeds the maximum stable vehicle speed, braking action will be applied to the vehicle. Furthe

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Gounis, Konstantinos, and Nick Bassiliades. "Intelligent momentary assisted control for autonomous emergency braking." Simulation Modelling Practice and Theory 115 (February 2022): 102450. http://dx.doi.org/10.1016/j.simpat.2021.102450.

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25

Zheng, Binshuang, Zhengqiang Hong, Junyao Tang, Meiling Han, Jiaying Chen, and Xiaoming Huang. "A Comprehensive Method to Evaluate Ride Comfort of Autonomous Vehicles under Typical Braking Scenarios: Testing, Simulation and Analysis." Mathematics 11, no. 2 (2023): 474. http://dx.doi.org/10.3390/math11020474.

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To highlight the advantages of autonomous vehicles (AVs) in modern traffic, it is necessary to investigate the sensing requirement parameters of the road environment during the vehicle braking process. Based on the texture information obtained using a field measurement, the braking model of an AV was built in Simulink and the ride comfort under typical braking scenarios was analyzed using CarSim/Simulink co-simulation. The results showed that the proposed brake system for the AV displayed a better performance than the traditional ABS when considering pavement adhesion characteristics. The brak

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26

Yang, Wei, Xiang Zhang, Qian Lei, and Xin Cheng. "Research on Longitudinal Active Collision Avoidance of Autonomous Emergency Braking Pedestrian System (AEB-P)." Sensors 19, no. 21 (2019): 4671. http://dx.doi.org/10.3390/s19214671.

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The AEB-P (Autonomous Emergency Braking Pedestrian) system has the functional requirements of avoiding the pedestrian collision and ensuring the pedestrian’s life safety. By studying relevant theoretical systems, such as TTC (time to collision) and braking safety distance, an AEB-P warning model was established, and the traffic safety level and work area of the AEB-P warning system were defined. The upper-layer fuzzy neural network controller of the AEB-P system was designed, and the BP (backpropagation) neural network was trained by collected pedestrian longitudinal anti-collision braking ope

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Kim, Taewoo, Seulgi Heo, Kyongsu Yi, Kyong Chan Min, and Jae Kon Shin. "Robust Autonomous Emergency Braking Algorithm for Vulnerable Road Users." Transactions of the Korean Society of Mechanical Engineers - A 42, no. 7 (2018): 611–19. http://dx.doi.org/10.3795/ksme-a.2018.42.7.611.

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Kim, Hyunkyu, Kyungsik Shin, Iljoon Chang, and Kunsoo Huh. "Autonomous Emergency Braking Considering Road Slope and Friction Coefficient." International Journal of Automotive Technology 19, no. 6 (2018): 1013–22. http://dx.doi.org/10.1007/s12239-018-0098-9.

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Mimura, Yasuhiro, Ryosuke Ando, Keiichi Higuchi, and Jia Yang. "Recognition on trigger condition of autonomous emergency braking system." Journal of Safety Research 72 (February 2020): 239–47. http://dx.doi.org/10.1016/j.jsr.2019.12.018.

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Kim, Dohee, Jinrak Park, Sungdeok Kim, and Eo Jeong Soo. "Robust Adaptive Autonomous Braking Control for Intelligent Electric Vehicles*." IFAC-PapersOnLine 56, no. 2 (2023): 11821–26. http://dx.doi.org/10.1016/j.ifacol.2023.10.580.

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Itu, Razvan, and Radu Danescu. "Fully Convolutional Neural Network for Vehicle Speed and Emergency-Brake Prediction." Sensors 24, no. 1 (2023): 212. http://dx.doi.org/10.3390/s24010212.

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Ego-vehicle state prediction represents a complex and challenging problem for self-driving and autonomous vehicles. Sensorial information and on-board cameras are used in perception-based solutions in order to understand the state of the vehicle and the surrounding traffic conditions. Monocular camera-based methods are becoming increasingly popular for driver assistance, with precise predictions of vehicle speed and emergency braking being important for road safety enhancement, especially in the prevention of speed-related accidents. In this research paper, we introduce the implementation of a

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32

Cassese, Giovanni, Cosimo Lucci, Giovanni Savino, and Niccolò Baldanzini. "Analysis of the rider’s body movement during the intervention of the Autonomous Emergency Braking system for Motorcycles (MAEB)." IOP Conference Series: Materials Science and Engineering 1214, no. 1 (2022): 012047. http://dx.doi.org/10.1088/1757-899x/1214/1/012047.

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Abstract Among the rider assistance systems for powered-two-wheelers (PTWs) that are currently in the developing stage, autonomous emergency braking (identified by the acronym MAEB - Motorcycle Autonomous Emergency Braking) was shown to be promising to significantly improve the safety of such vehicles. This system, which is already available on passenger cars and trucks (known as AEB), reduces the vehicle speed in the event of a forthcoming collision. The lack of implementation of AEB on standard motorcycles is due to the characteristic capsize instability of PTWs and their complex dynamics, w

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Singh, Gaurav, and Pravin Kumar Singh. "Automatic Braking System with Bumper Actuation." Journal of Mechanical and Construction Engineering (JMCE) 2, no. 1 (2022): 1–15. http://dx.doi.org/10.54060/jmce/002.01.002.

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For most people nowadays, driving is a common activity. Technology has undergone significant modifications, resulting in an increase in speed. However, high speed contributes to traffic accidents. When the driver is not attentive, ordinary braking is insufficient to prevent accidents. The braking system must be improved further in order to brake a vehicle when the driver is unable to do so, which may necessitate the use of an automatic braking system. The vehicle may brake without the driver's assistance using this autonomous braking technology. An automated braking system is an important aspe

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Begizhonov, Shakhrom, Polina Buyvol, Irina Makarova, and Eduard Tsybunov. "Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety." MATEC Web of Conferences 341 (2021): 00026. http://dx.doi.org/10.1051/matecconf/202134100026.

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The article is devoted to the issue of improving the autonomous vehicles safety. The anti-lock braking system was chosen as the object of the study, since it is one of the components of the vehicle active safety during emergency braking. Its functioning varies depending on parameters such as vehicle type, transmission type, external and internal steering wheel angles. It is necessary to parameterize correctly the electronic control unit of the anti-lock braking system depending on the specific values of these parameters. For this, a software module was developed that reads the values of the ve

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Noomwongs, Nuksit, Krit T.Siriwattana, Sunhapos Chantranuwathana, and Gridsada Phanomchoeng. "The Development of Teleoperated Driving to Cooperate with the Autonomous Driving Experience." Automation 6, no. 3 (2025): 26. https://doi.org/10.3390/automation6030026.

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Autonomous vehicles are increasingly being adopted, with manufacturers competing to enhance automation capabilities. While full automation eliminates human input, lower levels still require driver intervention under specific conditions. This study presents the design and development of a prototype vehicle featuring both low- and high-level control systems, integrated with a 5G-based teleoperation interface that enables seamless switching between autonomous and remote-control modes. The system includes a malfunction surveillance unit that monitors communication latency and obstacle conditions,

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Pełka, Małgorzata, Iwona Balke, Mikołaj Kruszewski, and Aleksandra Rodak. "Research capabilities of the Competence Centre for Autonomous and Connected Vehicles in the area of testing autonomous vehicles in Poland." Transport Samochodowy 69, no. 1 (2024): 1–10. http://dx.doi.org/10.5604/01.3001.0054.6261.

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The paper focuses on the most frequently used systems for storing energy recovered during vehicle braking are presented in this paper. Various solutions relying mainly on electrochemical batteries were analysed. The attention is also concentrated on systems that enable storing large amounts of energy using supercapacitors, and kinetic energy accumulators as the alternative approach.

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Santos, Carlos Renato Borges dos. "Simulação de frenagem de veículos com motoristas, veículos autônomos e veículos colaborativos." ForScience 10, no. 1 (2022): e00905. http://dx.doi.org/10.29069/forscience.2022v10n1.e905.

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Os desafios enfrentados pelos veículos autônomos nos quesitos localização, navegação, detecção de obstáculos e segurança ainda necessitam de soluções, permitindo um vasto campo para estudos e pesquisas. A gradual inserção de veículos autônomos nas vias de trânsito aumentará o número de encontros entre esses veículos, tornando viável a comunicação entre os mesmos, designada V2V (vehicle to vehicle). Este trabalho realiza uma revisão bibliográfica sobre a colaboração veicular e mostra os resultados da simulação de cenários de frenagem, com o objetivo de comparar os efeitos do tempo de reação de

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Duan, Jingliang, Renjie Li, Lian Hou, et al. "Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts." Accident Analysis & Prevention 108 (November 2017): 74–82. http://dx.doi.org/10.1016/j.aap.2017.08.022.

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Li, Ning, Jiarao Yang, Junping Jiang, Feng Hong, Yang Liu, and Xiaobin Ning. "Study on Speed Planning of Signalized Intersections with Autonomous Vehicles Considering Regenerative Braking." Processes 10, no. 7 (2022): 1414. http://dx.doi.org/10.3390/pr10071414.

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In order to reduce the energy consumption caused by the frequent braking of vehicles at signalized intersections, an optimized speed trajectory control method is proposed, based on braking energy recovery efficiency (BERE) in connection with an automated system for vehicle real-time interaction with roadside facilities and regional central control. Our objectives were as follows; firstly, to establish the simulation model of the hybrid energy regenerative braking system (HERBS) and to verify it by bench test. Secondly, to build up the genetic algorithm (GA) optimization model for the decelerat

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N.Keerthana and K.M.Annammal. "AUTOMATIC TEMPO CONTROL OF VEHICLE USING MULTI SENSORS." international journal of engineering technology and management sciences 7, no. 4 (2023): 612–16. http://dx.doi.org/10.46647/ijetms.2023.v07i04.084.

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We have lost many precious lives daily due to road accidents. The main reasons are driver error, road situation, and vehicle condition. The system works to help drivers during emergencies and risks. The normal braking system is fully dependent on the driver will never prevent a collision in a sudden critical situation braking and the vehicle tends to crash. The autonomous braking system plays today a big role in accident prevention and the system is unfortunately only used in high cargo vehicles. The system also has speed limiter functions. It will decrease or increase vehicle speed depending

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Veneroso, L., F. Alfatti, C. Annicchiarico, and R. Capitani. "Modelling, testing and validation of an innovative AEB control logic on a Hardware-in-the-loop test bench." IOP Conference Series: Materials Science and Engineering 1275, no. 1 (2023): 012041. http://dx.doi.org/10.1088/1757-899x/1275/1/012041.

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Abstract AEB, autonomous emergency braking, is an active safety system designed to prevent vehicle frontal collision. The most diffused AEB systems are based on simple Bang Bang control logic, which could often avoid, or at least mitigate collision effects, but their effectiveness can still be improved by increasing system repeatability. The aim of this study is to model and test an innovative AEB control logic that will increase system reliability by compensating for the non-immediate response of the braking system to braking requests. Using a hardware-in-the-loop test bench with two differen

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Fuentes del Toro, Sergio, Silvia Santos-Cuadros, Ester Olmeda, and José Luis San Román. "Study of the Emergency Braking Test with an Autonomous Bus and the sEMG Neck Response by Means of a Low-Cost System." Micromachines 11, no. 10 (2020): 931. http://dx.doi.org/10.3390/mi11100931.

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Nowadays, due to the advances and the increasing implementation of the autonomous braking systems in vehicles, the non-collision accident is expected to become more common than a crash when a sudden stop happens. The most common injury in this kind of accident is whiplash or cervical injury since the neck has high sensitivity to sharp deceleration. To date, biomechanical research has usually been developed inside laboratories and does not entirely represent real conditions (e.g., restraint systems or surroundings of the experiment). With the aim of knowing the possible neck effects and consequ

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Zhao, Xinyu, Lu Xiong, Guirong Zhuo, et al. "A Review of One-Box Electro-Hydraulic Braking System: Architecture, Control, and Application." Sustainability 16, no. 3 (2024): 1049. http://dx.doi.org/10.3390/su16031049.

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With the development of automobile electrification and intelligence, new requirements have been put forward for automotive braking technologies. Under this background, the One-box EHB (Electro-Hydraulic Braking system) brake-by-wire technology has emerged, which combines the electric booster and wheel-cylinder control module into one box and can realize vehicle stability and comfort functions such as service brake, pedal feel simulation, brake decoupling, failure backup, active braking, and wheel-cylinder pressure control. This article reviews the current research of key technologies of One-bo

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He, Qu, Yunpeng Zhu, Weikun Li, Weicheng Cui, and Dixia Fan. "Pectoral Fin-Assisted Braking and Agile Turning: A Biomimetic Approach to Improve Underwater Robot Maneuverability." Journal of Marine Science and Engineering 13, no. 7 (2025): 1295. https://doi.org/10.3390/jmse13071295.

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The integration of biomimetic pectoral fins into robotic fish presents a promising approach to enhancing maneuverability, stability, and braking efficiency in underwater robotics. This study investigates a 1-DOF (degree of freedom) pectoral fin mechanism integrated into the SpineWave robotic fish. Through force measurements and particle image velocimetry (PIV), we optimized control parameters to improve braking and turning performances. The results show a 50% reduction in stopping distance, significantly enhancing agility and control. The fin-assisted braking and turning modes enable precise m

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Diachuk, Maksym, and Said M. Easa. "Planning Speed Mode of All-Wheel Drive Autonomous Vehicles Considering Complete Constraint Set." Vehicles 6, no. 1 (2024): 191–230. http://dx.doi.org/10.3390/vehicles6010008.

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The study aims to improve the technique of motion planning for all-wheel drive (AWD) autonomous vehicles (AVs) by including torque vectoring (TV) models and extended physical constraints. Four schemes for realizing the TV drive were considered: with braking internal wheels, using a rear-axle sport differential (SD), with braking front internal wheel and rear-axle SD, and with SDs on both axles. The mathematical model combines 2.5D vehicle dynamics model and a simplified drivetrain model with the self-locking central differential. The inverse approach implies optimizing the distribution of kine

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Funkhouser, Kelly, and Frank Drews. "Putting the Brakes on Autonomous Vehicle Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1859–63. http://dx.doi.org/10.1177/1541931213601424.

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The assimilation of automation in commuter vehicles is rapidly increasing, as too are the concerns with these technologies. Human interaction with autonomous vehicles must be thoroughly researched to understand the quantification and qualification of interactive behaviors with these systems. We developed a study using a high-fidelity driving simulator to mimic probable breakdowns with these systems to better understand the subsequent human responses and to explore the necessary technological requirements to overcome potential problems. 30 participants engaged in a driving scenario switching be

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Carabulea, Laurentiu, Claudiu Pozna, Csaba Antonya, Călin Husar, and Alexandra Băicoianu. "The influence of the Advanced Emergency Braking System in critical scenarios for autonomous vehicles." IOP Conference Series: Materials Science and Engineering 1220, no. 1 (2022): 012045. http://dx.doi.org/10.1088/1757-899x/1220/1/012045.

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Abstract This paper proposes use indications for an Advanced Emergency Braking System (AEBS) module developed in Matlab and included in a Simcenter Prescan simulation. The analysed indications depend on a Long-Range Radar (LRR) and Short-Range Radar (SRR) beam range, on the speed of the autonomous vehicle and on the time between the detection of the obstacle in front of the autonomous vehicle and the time the obstacle starts to move. The simulated scenario consists of an autonomous vehicle that travels at a certain speed, where another vehicle starts to move from a bus station after a sudden s

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Shim, Sunghyun, Taewung Kim, and Jaehoon Kim. "Sensitivity Analysis on the Effect of Occupant- and Vehicle-Related Parameters on Injury Risk During Autonomous Vehicle Crash." Applied Sciences 15, no. 12 (2025): 6492. https://doi.org/10.3390/app15126492.

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The objective of this study was to analyze the effects of variables such as pre-crash emergency braking and reclined posture on human injuries in autonomous vehicle collisions using an active human model and through crash analysis. To achieve this, the MADYMO (MAthematical DYnamic MOdels) active human model was validated for predicting occupant responses during pre-crash emergency braking. Its biofidelity during crash conditions was also validated. Additionally, the model was validated under component-level impact conditions to ensure its suitability for predicting occupant injuries. Two auton

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Wasilewski, Piotr, Krystian Chojnowski, and Rafał Grądzki. "Autocalibration of gyroscope based two-step regulator for autonomous vehicles." MATEC Web of Conferences 182 (2018): 01030. http://dx.doi.org/10.1051/matecconf/201818201030.

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In this article was presented an auto calibration algorithm based on a two-step regulator and gyroscope readings. Unable to use PID, as the PWM signal causes the motors to overheat, it was decided to introduce a two-step algorithm. This type of controller reaches the setpoint much faster, though an error is present. Gyroscope is used to sample angular speed and then integrate these values to get the angle. To calibrate the offsets the robot performs a calibration run during which it measures and averages the error on each gyroscope axis while no movement is present. Afterwards it makes a chara

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Kim, Changwon, Joonho Seo, Dongkyu Lee, Jun-uk Chu, and Ohwon Kwon. "Deep Learning based Customized Autonomous Emergency Braking System Parameter Extraction." Journal of Institute of Control, Robotics and Systems 25, no. 8 (2019): 671–76. http://dx.doi.org/10.5302/j.icros.2019.19.0111.

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