一种基于高精度地图的路径跟踪方法
A Path Tracking Method Based on High Precision Map
查看参考文献17篇
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文摘
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斯坦利方法对扰动的鲁棒性较差,且易在路径跟踪时产生较大偏差。为此,提出一种改进的斯坦利路径跟踪方法。利用自动驾驶车的惯性导航系统收集路网数据,建立一张高精度的道路地图。使用A*算法进行路径规划,得到有效的路径信息。根据车速与注视点之间的对数关系,计算出前视点的位置,并将前视点作为斯坦利路径跟踪的目标点。实验结果表明,与斯坦利方法相比,该方法路径跟踪的横向偏差降低了20%。 |
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其他语种文摘
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The Stanley method is less robust to disturbances and tends to produce larger deviations in path tracking. In order to solve this problem, an improved Stanley path tracking method is proposed. Road network data collected by the inertial navigation system of autonomous vehicles are used to build a high-precision road map. In order to get effective path information,A-Star algorithm has been chosen for path planning. The position of the look-ahead points are calculated by the logarithmic relationship between the vehicle speed and the fixation points,t he look-ahead points are taken as the target points for the Stanley method. Experimental results show that the lateral deviation of path tracking of this method is reduced by 20% as compared with the Stanley method. |
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来源
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计算机工程
,2018,44(7):8-13 【扩展库】
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DOI
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10.19678/j.issn.1000-3428.0050989
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关键词
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斯坦利方法
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路径跟踪
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高精度地图
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自动驾驶
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路径规划
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地址
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北京联合大学, 北京信息服务工程重点实验室, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3428 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金“视听觉信息的认知计算
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英国皇家工程院牛顿基金
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北京市属高校高水平教师队伍建设支持计划项目
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文献收藏号
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CSCD:6285660
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参考文献 共
17
共1页
|
|
1.
Pendleton S. Autonomous golf cars for public trial of mobility-on-demand service.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems,2015:1164-1171
|
被引
1
次
|
|
|
|
|
2.
Urmson C. Autonomous driving in urban environments: boss and the urban challenge.
Journal of Field Robotics,2008,25(8):425-466
|
被引
68
次
|
|
|
|
|
3.
Gwon G P. Generation of a precise and efficient lane-level road map for intelligent vehicle systems.
IEEE Transactions on Vehicular Technology,2017,66(6):4517-4533
|
被引
6
次
|
|
|
|
|
4.
Seo Y W. Exploiting publicly available cartographic resources for aerial image analysis.
Proceedings of International Conference on Advances in Geographic Information Systems,2012:109-118
|
被引
1
次
|
|
|
|
|
5.
Hu J. Road network extraction and intersection detection from aerial images by tracking road footprints.
IEEE Transactions on Geoscience & Remote Sensing,2007,45(12):4144-4157
|
被引
10
次
|
|
|
|
|
6.
Jo K. Generation of a precise roadway map for autonomous cars.
IEEE Transactions on Intelligent Transportation Systems,2014,15(3):925-937
|
被引
9
次
|
|
|
|
|
7.
Amo M. Road extraction from aerial images using a region competition algori thm.
IEEE Transactions on Image Processing,2006,15(5):1192-1201
|
被引
11
次
|
|
|
|
|
8.
屈盼让. 基于B样条曲线的无人车路径规划算法.
电脑知识与技术,2016,12(26):235-237
|
被引
2
次
|
|
|
|
|
9.
Chen X. Performance enhancement for a GPS vector-tracking loop utilizing an adaptive iterated extended Kalman filter.
Sensors,2014,14(12):23630-23649
|
被引
1
次
|
|
|
|
|
10.
Hoffmann G M. Autonomous automobile trajectory tracking for offroad driving: controller design,experimental validation and racing.
Proceedings of American Control Conference,2007:2296-2301
|
被引
1
次
|
|
|
|
|
11.
Andersen H. Geometric path tracking algorithm for autonomous driving in pedestrian environment.
Proceedings of IEEE International Conference on Advanced Intelligent Mechatronics,2016
|
被引
1
次
|
|
|
|
|
12.
Zhu Qi. An adaptive path tracking method for autonomous land vehicle based on neural dynamic programming.
Proceedings of IEEE International Conference on Mechatronics and Automation,2016:1429-1434
|
被引
1
次
|
|
|
|
|
13.
Kim M. Study on vehicle lateral control for backward driving.
Proceedings of International Conference on Ubiquitous Robots and Ambient Intelligence,2016:191-193
|
被引
1
次
|
|
|
|
|
14.
Guan Quanzhen. The research of prediction model on intelligent vehicle based on driver’s perception.
Cluster Computing,2017,20(4):2967-2979
|
被引
2
次
|
|
|
|
|
15.
王任栋. 基于稀疏地图坐标的智能车导航路径生成与优化.
军事交通学院学报,2015,17(6):26-31
|
被引
2
次
|
|
|
|
|
16.
王元彪. 智能交通系统中Dijkstra算法的高效实现.
计算机工程,2007,33(6):256-258
|
被引
9
次
|
|
|
|
|
17.
黎萍. 基于可视图与A*算法的路径规划.
计算机工程,2014,40(3):193-195
|
被引
10
次
|
|
|
|
|
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