中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Invariant-Set-Based Planning approach for obstacle avoidance under vehicle dynamic constraints

文献类型:会议论文

作者Qi X(齐欣); Theilliol, Didier; Song DL(宋大雷); Han JD(韩建达)
出版日期2015
会议名称2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
会议日期December 6-9, 2015
会议地点Zhuhai, China
页码1692-1697
中文摘要Autonomous vehicles require the ability to safely operate under both external environment constraints such as obstacles, and their own limits such as dynamic conditions. The problem of planning feasible control reference inputs against both constraints is still an open question. In this paper, the contribution is to propose an Invariant-Set-Based Planning (ISBP) approach which can move a vehicle from an initial point to a goal point by calculating feasible control reference inputs with satisfying both constraints simultaneously. A series of invariant sets will be calculated to cover feasible path and system input constraints will be novelly modified to calculate each invariant set. Finally, ISBP approach will be achieved by solving a set of linear matrix inequalities (LMIs).
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4673-9674-5
WOS记录号WOS:000380476200282
源URL[http://ir.sia.cn/handle/173321/18618]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Qi X,Theilliol, Didier,Song DL,et al. Invariant-Set-Based Planning approach for obstacle avoidance under vehicle dynamic constraints[C]. 见:2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Zhuhai, China. December 6-9, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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