Autonomous Emergency Collision Avoidance and Collaborative Stability Control Technologies for Intelligent Vehicles: A Survey

This paper presents a comprehensive literature review on intelligent driving technologies, with a special emphasis on Automatic Emergency Collision Avoidance Technology (AECA) and Collaborative Stability Control (CSC). These technologies play a crucial role in the active safety of vehicles. AECA proactively detects and responds to potential collisions, and CSC enhances vehicle stability by integrating various systems across multiple driving scenarios. The synergy between AECA and CSC is essential for improving passenger safety and the overall efficiency of traffic systems. This review delves into the application of AECA and CSC, particularly under conditions that might compromise vehicle stability, emphasizing the crucial balance between safety and stability in collision avoidance scenarios. The paper discusses the challenges faced by intelligent vehicles, such as the strong coupling nonlinearity in vehicle dynamics, unpredictable environmental conditions, and the increasing complexity of control systems. It examines strategies in braking, steering, and the coordination of multiple systems to achieve effective collision avoidance and stability control. Additionally, the review provides a forward-looking perspective on potential developments and insights for ongoing research in domains of AECA and CSC within intelligent technologies. The goal is to present a structured overview of the current state of research, highlight significant findings, and identify critical areas where future research could significantly advance the field of intelligent driving systems.

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Publication Details

Journal
IEEE Transactions on Intelligent Vehicles
Published
2024-12-18
DOI
https://doi.org/10.1109/tiv.2024.3519766
Citations
9
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
1.83
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article

Autonomous Emergency Collision Avoidance and Collaborative Stability Control Technologies for Intelligent Vehicles: A Survey

Xiaoqiang Tan, Zhen Li, Guangqiang Wu, Chengbao Zhang et al.
9 citations
IEEE Transactions on Intelligent Vehicles
Autonomous Vehicle Technology and Safety
1.83
article

Autonomous Emergency Collision Avoidance and Collaborative Stability Control Technologies for Intelligent Vehicles: A Survey

Xiaoqiang Tan, Zhen Li, Guangqiang Wu, Chengbao Zhang, Kai Liu
article en
9 citations

Abstract

This paper presents a comprehensive literature review on intelligent driving technologies, with a special emphasis on Automatic Emergency Collision Avoidance Technology (AECA) and Collaborative Stability Control (CSC). These technologies play a crucial role in the active safety of vehicles. AECA proactively detects and responds to potential collisions, and CSC enhances vehicle stability by integrating various systems across multiple driving scenarios. The synergy between AECA and CSC is essential for improving passenger safety and the overall efficiency of traffic systems. This review delves into the application of AECA and CSC, particularly under conditions that might compromise vehicle stability, emphasizing the crucial balance between safety and stability in collision avoidance scenarios. The paper discusses the challenges faced by intelligent vehicles, such as the strong coupling nonlinearity in vehicle dynamics, unpredictable environmental conditions, and the increasing complexity of control systems. It examines strategies in braking, steering, and the coordination of multiple systems to achieve effective collision avoidance and stability control. Additionally, the review provides a forward-looking perspective on potential developments and insights for ongoing research in domains of AECA and CSC within intelligent technologies. The goal is to present a structured overview of the current state of research, highlight significant findings, and identify critical areas where future research could significantly advance the field of intelligent driving systems.

IEEE Transactions on Intelligent VehiclesVol. 10(12)
Tongji University (CN), SAIC Motor (China) (CN)
Openalex Percentile: Top 15%
Autonomous Vehicle Technology and Safety
1.83
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