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![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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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 |
DOI | 10.1109/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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