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Autonomous driving (AD) has achieved significant progress, yet single-vehicle perception remains constrained by sensing range and occlusions.
Mechanical vibration and shock – evaluation of human exposure to whole-body vibration – part 1: General requirements, 1997
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Explain yourself! leveraging language models for commonsense reasoning
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Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors
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Self-driving like a human driver instead of a robocar: Personalized comfortable driving experience
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V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
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Set-membership estimation in shared situational awareness for automated vehicles in occluded scenarios
Vandana Narri, Amr Alanwar, Jonas Mårtensson, Christoffer Norén, Laura Dal Col, and Karl Henrik Johansson · 2021
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Comfort-based trajectory and velocity planning for autonomous vehicles
Fan Yan, Xiangjun Wang, Lianbo Zhang, and Yan Chen · 2021
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Coopernaut: End-to-end driving with cooperative perception for networked vehicles
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An overview of sensors in autonomous vehicles
Henry Alexander Ignatious, Manzoor Khan, et al · 2022
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How does c-v2x help autonomous driving to avoid accidents?
Lili Miao, Shang-Fu Chen, Yu-Ling Hsu, and Kai-Lung Hua · 2022
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Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Khan Muhammad, Tanveer Hussain, Hayat Ullah, Javier Del Ser, Mahdi Rezaei, Neeraj Kumar, Mohammad Hijji, Paolo Bellavista, and Victor Hugo C de Albuquerque · 2022
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Collaborative perception for autonomous driving: Current status and future trend
Shunli Ren, Siheng Chen, and Wenjun Zhang · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma · 2022
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Autonomous driving under v2x environment: state-of-the-art survey and challenges
Xun Yang, Yunyang Shi, Jiping Xing, and Zhiyuan Liu · 2022
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Collaborative perception in autonomous driving: Methods, datasets, and challenges
Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, and Yidong Li · 2023
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V2x cooperative perception for autonomous driving: Recent advances and challenges
Tao Huang, Jianan Liu, Xi Zhou, Dinh C Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, and Sumei Sun · 2023
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Towards knowledge-driven autonomous driving
Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, et al · 2023
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Towards vehicle-to-everything autonomous driving: A survey on collaborative perception
Jia Quan Loh, Xuewen Luo, Fan Ding, Hwa Hui Tew, Junn Yong Loo, Ze Yang Ding, Susilawati Susilawati, and Chee Pin Tan · 2024
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Xuewen Luo, Fan Ding, Yinsheng Song, Xiaofeng Zhang, and Junnyong Loo · 2024
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Probing multimodal llms as world models for driving
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, and Daniela Rus · 2024
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Lidar-based end-to-end temporal perception for vehicle-infrastructure cooperation
Zhenwei Yang, Jilei Mao, Wenxian Yang, Yibo Ai, Yu Kong, Haibao Yu, and Weidong Zhang · 2024
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Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, et al · 2023
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Dilu: A knowledge-driven approach to autonomous driving with large language models
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, and Yu Qiao · 2023
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Overcoming occlusions: Perception task-oriented information sharing in connected and autonomous vehicles
Zhu Xiao, Jinmei Shu, Hongbo Jiang, Geyong Min, Hongyang Chen, and Zhu Han · 2023
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Llm4drive: A survey of large language models for autonomous driving
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A survey of security and privacy issues in v2x communication systems
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V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, et al · 2023
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Hallucination of multimodal large language models: A survey
Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, and Mike Zheng Shou · 2024
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A survey on multimodal large language models for autonomous driving
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Rag-guided large language models for visual spatial description with adaptive hallucination corrector
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Vehicle-to-everything (v2x) in the autonomous vehicles domain–a technical review of communication, sensor, and ai technologies for road user safety
Syed Adnan Yusuf, Arshad Khan, and Riad Souissi · 2024
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Will large language models be a panacea to autonomous driving?
Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, and Li Li · 2024
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V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models
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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
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End-to-end autonomous driving through v2x cooperation
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