中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios

文献类型:期刊论文

作者Fan, Jingjing1,2; Fan, Lili3; Ni, Qinghua4; Wang, Junhao5; Liu, Yi6; Li, Ren7; Wang, Yutong8; Wang, Sanjin9
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2024-04-01
卷号9期号:4页码:4568-4572
关键词Feature extraction Radar Roads Trajectory Millimeter wave communication Point cloud compression Image color analysis Cyber-Physical-Social Systems (CPSS) emergency management intelligent vehicles low-altitude economy off-road scenarios
ISSN号2379-8858
DOI10.1109/TIV.2024.3392753
通讯作者Fan, Lili(lilifan@bit.edu.cn)
英文摘要In extreme off-road scenarios, autonomous driving technology holds strategic significance for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating safety risks. Challenges such as adverse conditions, complex terrains, unstable satellite signals, and lack of roads pose serious safety challenges for autonomous driving. This perspective first delves into a Bird's Eye View (BEV)-based perception-planning framework, aiming to enhance the adaptability of intelligent vehicles to their environment. Subsequently, this perspective further discusses key issues such as Cyber-Physical-Social Systems (CPSS), foundation models, and technologies like Sora for off-road scenario generation, vehicle cognitive enhancement, and autonomous decision-making. Ultimately, the discussed framework is poised to endow intelligent vehicles with the capability to perform challenging tasks in complex off-road scenarios, realizing a more efficient, safer, and sustainable transportation system, thereby providing better support for the low-altitude economy.
资助项目National Key Research and Development Program of China
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
WOS记录号WOS:001250038700010
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China
源URL[http://ir.ia.ac.cn/handle/173211/59109]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Fan, Lili
作者单位1.Jiangsu Ind Innovat Ctr Intelligent Equipment Co L, Liyang 213300, Peoples R China
2.North China Univ Technol, Sch Elect & Control Engn, Beijing 100144, Peoples R China
3.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
4.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China
5.Dalian Minzu Univ, Sch Sci, Dalian 116600, Peoples R China
6.Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
7.Anhui Ankai Automobile Co Ltd, Hefei 230000, Peoples R China
8.Chinese Acad Sci, Inst Automation, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
9.China North Ind North Automatic Control Technol Re, North Automatic Control Technol Inst, Taiyuan 030006, Peoples R China
推荐引用方式
GB/T 7714
Fan, Jingjing,Fan, Lili,Ni, Qinghua,et al. Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(4):4568-4572.
APA Fan, Jingjing.,Fan, Lili.,Ni, Qinghua.,Wang, Junhao.,Liu, Yi.,...&Wang, Sanjin.(2024).Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(4),4568-4572.
MLA Fan, Jingjing,et al."Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.4(2024):4568-4572.

入库方式: OAI收割

来源:自动化研究所

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