中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 4, 页码: 4568-4572
作者:  
Fan, Jingjing;  Fan, Lili;  Ni, Qinghua;  Wang, Junhao;  Liu, Yi
  |  收藏  |  浏览/下载:30/0  |  提交时间:2024/09/09
Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216
作者:  
Li, Xuan;  Teng, Siyu;  Liu, Bingzi;  Dai, Xingyuan;  Na, Xiaoxiang
  |  收藏  |  浏览/下载:26/0  |  提交时间:2023/11/17
Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2049-2061
作者:  
Chen, Junzhou;  Zhao, Nan;  Zhang, Ronghui;  Chen, Long;  Huang, Kai
  |  收藏  |  浏览/下载:38/0  |  提交时间:2023/11/17
BiFNet: Bidirectional Fusion Network for Road Segmentation 期刊论文  OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 12
作者:  
Li, Haoran;  Chen, Yaran;  Zhang, Qichao;  Zhao, Dongbin
  |  收藏  |  浏览/下载:34/0  |  提交时间:2022/01/27
Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence 期刊论文  OAI收割
IEEE, 2017, 卷号: 4, 期号: 4, 页码: 577-587
作者:  
Fei-Yue Wang;  Nan-Ning Zheng;  Dongpu Cao;  Clara Marina Martinez;  Li Li
  |  收藏  |  浏览/下载:53/0  |  提交时间:2018/01/08
Quantifying Light Absorption of Iron Oxides and Carbonaceous Aerosol in Seasonal Snow across Northern China 期刊论文  OAI收割
ATMOSPHERE, 2017, 卷号: 8, 期号: 4, 页码: 63
作者:  
Zhou, Y (Zhou, Yue);  Wang, X (Wang, Xin);  Wu, XQ (Wu, Xueqin);  Cong, ZY (Cong, Zhiyuan);  Wu, GM (Wu, Guangming)
  |  收藏  |  浏览/下载:45/0  |  提交时间:2018/07/12
Adaptive Sliding Mode Control Method Based on Nonlinear Integral Sliding Surface for Agricultural Vehicle Steering Control 期刊论文  OAI收割
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 卷号: 2014, 页码: 1-10
作者:  
Li TC(李逃昌);  Hu JT(胡静涛)
  |  收藏  |  浏览/下载:26/0  |  提交时间:2014/05/15
Robust Automated Ground Plane Rectification Based on Moving Vehicles for Traffic Scene Surveillance 会议论文  OAI收割
San Diego, California, USA, 12-15 October 2008
作者:  
Zhaoxiang Zhang;  Min Li;  Kaiqi Huang;  Tieniu Tan
  |  收藏  |  浏览/下载:25/0  |  提交时间:2016/12/30
Airborne moving vehicle detection for urban traffic surveillance 会议论文  OAI收割
11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008), Beijing, PEOPLES R CHINA, OCT 12-15, 2008
作者:  
Lin, Renjun;  Cao, Xianbin;  Xu, Yanwu;  Wei, Chuangxian;  Qiao, Hong
收藏  |  浏览/下载:31/0  |  提交时间:2017/01/12
Study on integrated vehicle navigation system of "Beidou" double-star/DR (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Liu J.;  Liu J.;  Liu J.;  Liu H.;  Liu H.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
Vehicle navigation is the corn element of Intelligent Transport System. The integrated system of "Beidou" Double-star/DR is studied in this paper according to the present state of vehicle navigation in our country. "Beidou" Double-star navigation position system is one regional satellite position system built up by our country  which can provide rapidly not only highly precision position and brevity telegram service. However  when the vehicles go around the tall buildings  high mountain area  wayside trees and in the tunnels  all signal may not be received. If the satellite navigation position system is used only  the precision will be reduced. Therefore  this paper proposes a nonlinear self-adaptive Kalman filter model and its algorithm for a Double-star/DR integrated navigation system in land vehicles  and verifies effectively the algorithm and scheme through the means of simulation. Next  this paper introduces map match approach. The roads are segmented and character information is brought out. Then  proper search rules and map match algorithm are adopted. According to the current vehicle position information that Double-Star/DR system provides  the nearest road can be found in the map database. The vehicle position will be matched and displayed on the road. The result of the experiment shows that the Double-star/DR integrated algorithm and map match can improve reliability and the precision of vehicle navigation system efficiently.