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Rollover Prevention and Motion Planning for an Intelligent Heavy Truck

Zhilin Jin, Jingxuan Li, Hong Wang, Jun Li, Chaosheng Huang
2021 Chinese Journal of Mechanical Engineering  
To improve rollover stability, a motion planning strategy with autonomous anti rollover ability for an intelligent heavy truck is put forward in this paper.  ...  AbstractIt is very necessary for an intelligent heavy truck to have the ability to prevent rollover independently. However, it was rarely considered in intelligent vehicle motion planning.  ...  Then, the MPC based motion planning module controls the heavy truck to track the global path while avoiding collisions, complying with the road regulations and preventing the rollover.  ... 
doi:10.1186/s10033-021-00605-z fatcat:5mvmtmjvojdxlbsx6tmy34fh6i

Key Technologies in Connected Autonomous Electrified Vehicles

Yugong Luo, Wenbo Chu, Dongpu Cao
2021 Chinese Journal of Mechanical Engineering  
The In "Rollover Prevention and Motion Planning for an Intelligent Heavy Truck", Wang et al. propose a motion planning strategy with autonomous anti rollover ability for an intelligent heavy truck to improve  ...  The results show that the proposed motion planning strategy can avoid collisions and improve vehicle rollover stability effectively even under the worst driving scenarios.  ... 
doi:10.1186/s10033-021-00652-6 fatcat:ipv72enmhfg73e5da6kklojkkq

Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers [article]

Feng Han, Jingang Yi
2022 arXiv   pre-print
Under the proposed control method, the vehicle avoids the obstacle collision and safely maintain the balance for autonomous ski-stunt maneuvers.  ...  This paper presents a safety guaranteed control method for an autonomous vehicle ski-stunt maneuver, that is, a vehicle moving with two one-side wheels.  ...  The safety criteria is the collision avoidance with multiple obstacles for the planar motion.  ... 
arXiv:2204.01101v1 fatcat:ct4bdvc5h5do7h3hvrjvupypeu

Preventive and Active Safety Applications [article]

Levent Guvenc
2022 arXiv   pre-print
The aim of passive safety systems is to reduce risk of injury to the occupants of the vehicle during and after an accident like a crash or rollover.  ...  In some cases, the presentation is complemented with results obtained in the research group of the author.  ...  The author would like to thank the members of the Automotive Control Research Group for their help. The kind invitation of Ford/Otosan to present this material at ICAT 2004 is also acknowledged.  ... 
arXiv:2012.08031v2 fatcat:enak4oc2izgqfh5em7xwnto2je

PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking

Zhigang Xu, Mingliang Wang, Fengzhi Zhang, Sheng Jin, Jin Zhang, Xiangmo Zhao
2017 Journal of Advanced Transportation  
With the advent of autonomous vehicles, in particular its adaptability to harsh conditions, the research and development of autonomous vehicles attract significant attention by not only academia but also  ...  This paper uses a case of the development process of tracking control for high-speed U-turn to build the tracking control function.  ...  Ultrasonic distance sensors are used to detect the location of the front vehicle or obstacles to prevent collisions.  ... 
doi:10.1155/2017/9203251 fatcat:jn7ipbjvpfbyfbf44mojge6g44

Active steering control-based trucks lane-keeping system

Kawther Osman, Jawhar Ghommam, Maarouf Saad
2021 International Journal of Cybernetics and Cyber-Physical Systems  
This paper proposes a lane-keeping system for trucks with trailer.  ...  The chosen active steering vehicle model allows to control both steering angles of the vehicle's articulations to pursue a desired trajectory.  ...  Otherwise, Shi et al. (2019) proposed a trajectory and velocity planner that avoids collision and rollover scenarios for autonomous trucks.  ... 
doi:10.1504/ijccps.2021.113101 fatcat:v7uqp4conjajjg6xfkugljbvlu

Model Predictive Control Based Path Tracking and Velocity Control with Rollover Prevention Function for Autonomous Electric Road Sweeper

Yonghwan Jeong, Wongun Kim, Seongjin Yim
2022 Energies  
This paper presents a model predictive control (MPC)-based algorithm for rollover prevention of an autonomous electric road sweeper (AERS).  ...  With the vehicle model, reference states of position and velocity were determined that are needed to make the AERS track the reference path and prevent rollover.  ...  This is because the AERS should follow the reference path to avoid collision with surrounding objects.  ... 
doi:10.3390/en15030984 fatcat:d33le6ia75dirfifcd264jopoe

Methodology for Using Advanced Event Data Recorders to Reconstruct Vehicle Trajectories for Use in Safety Impact Methodologies (SIM)

Kristofer D. Kusano, Rini Sherony, Hampton C. Gabler
2013 Traffic Injury Prevention  
The objective of this study is to introduce a novel methodology for reconstructing the precrash vehicle trajectories using data from advanced event data recorders (EDRs).  ...  Currently, there are too few cases with the advanced EDR data to estimate fleet-wide benefits of a system.  ...  ., and the Toyota Collaborative Safety Research Center (CSRC) for funding this research.  ... 
doi:10.1080/15389588.2013.796374 pmid:23905880 fatcat:u36blw76ezbgbbax6z3nuq5nom

A Review of Control Algorithm for Autonomous Guided Vehicle

Faiza Gul
2020 Indonesian Journal of Electrical Engineering and Computer Science  
<br />The main objective of path planning is to find the optimal and<br />shortest path avoiding the time complexity so environment can be<br />modelled completely for vehicle.  ...  The paper includes explanation<br />of different systems together with numerous algorithms have been<br />discussed with advantages and disadvantages for example: Fuzzy<br />control, Neural Control, Back-stepping  ...  It is aimed to improve the transient performance of the vehicle and to consider a rollover prevention criterion in the proposed method.  ... 
doi:10.11591/ijeecs.v20.i1.pp552-562 fatcat:zs2zlrjdczgrve6kgdqybso7gu

Permitted speed decision of single-unit trucks with emergency braking maneuver on horizontal curves under rainy weather

Menghua Yan, Jinliang Xu, Shuo Han, Tian Xin, Ouyu Wang, Zemin Yi, Zhaoxin Liu, Feng Chen
2021 PLoS ONE  
The results of the TruckSim simulation show that for a single-unit truck, running at the computed permitted speed, both lateral and longitudinal stability meet the requirements.  ...  The improper selection of speed on curved road sections leads to an unreasonable distribution of longitudinal and lateral friction, which is likely to cause rear-end collisions and lateral instability  ...  In other words, the risk of rear-end collisions in rain is higher compared with rollover or sideslip accidents.  ... 
doi:10.1371/journal.pone.0261975 pmid:34969049 pmcid:PMC8717978 fatcat:sw3mkhyf5ncuxbobmwogqosmhy

Review of Research on Road Traffic Operation Risk Prevention and Control

Yongji Ma, Jinliang Xu, Chao Gao, Minghao Mu, Guangxun E, Chenwei Gu
2022 International Journal of Environmental Research and Public Health  
, and vehicle collision prediction.  ...  For the road risks, the safe driving guarantee of high-risk road sections, driving risks at intersections, and safe road alignment design were the three study hotspots.  ...  Acknowledgments: The authors want to thank the members of Shandong Hi-Speed Group Co., Ltd. for providing necessary help in the process of data collection.  ... 
doi:10.3390/ijerph191912115 fatcat:6hmmo6hab5e63cgxeaaurg3pgy

Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches

Hesham Alghodhaifi, Sridhar Lakshmanan
2021 IEEE Access  
Unfortunately, this approach is time-consuming and costly because one needs to drive thousands of miles to experience a police-reported collision and nearly millions of miles for a fatal crash.  ...  This paper presents a brief survey of the advances that have occurred in the area of the evaluation of partly or fully AVs, starting with naturalistic field operational tests (N-FOTs).  ...  The security problem in the autonomous driving domain, especially trajectory planning, is investigated heavily in the literature reviews.  ... 
doi:10.1109/access.2021.3125620 fatcat:z4uj4riyorhu7hliv4sqvnz6n4

Employing Severity of Injury to Contextualize Complex Risk Mitigation Scenarios

Luiz Alberto Serafim Guardini, Anne Spalanzani, Christian Laugier, Philippe Martinet, Anh-Lam Do, Thierry Hermitte
2020 2020 IEEE Intelligent Vehicles Symposium (IV)  
The method generates a cost map containing a collision probability along with to the risk of injury.  ...  For instance, the use of binary allowed/forbidden zones or, a fixed weight to each type of object in the scene.  ...  We thank the LAB (Laboratoire dAccidentologie, de Biomcanique et du comportement du conducteur) for providing the risk of injury curves issued from their accident data analysis.  ... 
doi:10.1109/iv47402.2020.9304543 fatcat:j7z6wxlwkrb5tm5v6wdzwaqziy

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Planning autonomous vehicles' (AVs) actions in the presence of pedestrians requires modeling of their probable future behavior as well as detecting and tracking them.  ...  between pedestrians and autonomous vehicles.  ...  Autonomous Vehicle Trajectory Autonomous Driving Learning Preference of Collision Avoidance Maneuvers A. Nagahama, T. Saito, T. Wada, and K.  ... 
doi:10.1109/tits.2021.3104912 fatcat:jy6vxumv2bg6feqdzpffik2y4e

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
., +, TITS April 2020 1664-1676 Lane Keeping Control of Autonomous Vehicles With Prescribed Performance Considering the Rollover Prevention and Input Saturation.  ...  ., +, TITS July 2020 3069-3079 Lane Keeping Control of Autonomous Vehicles With Prescribed Performance Considering the Rollover Prevention and Input Saturation.  ...  R Radar clutter Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood-Estimator in SAR Imagery. Ai, J., 2039 -2049  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4
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