文献类型：会议论文

英文题名：An Effective Method for Self-driving Car Navigation based on Lidar

作者：Liu, Meng[1];Liu, Yu[2];Niu, Jianwei[1];Du, Yu[3];Wan, Yanchen[2]

第一作者：Liu, Meng

通讯作者：Liu, M[1]

机构：[1]Beihang Univ, State Key Lab Virtual Real Technol & Syst, Sch Comp Sci & Engn, Beijing 100191, Peoples R China;[2]Beihang Univ, State Key Lab Software Dev Environm, Sch Comp Sci & Engn, Beijing 100191, Peoples R China;[3]Beijing Union Univ, Coll Robot, Beijing, Peoples R China

第一机构：Beihang Univ, State Key Lab Virtual Real Technol & Syst, Sch Comp Sci & Engn, Beijing 100191, Peoples R China

通讯机构：[1]corresponding author), Beihang Univ, State Key Lab Virtual Real Technol & Syst, Sch Comp Sci & Engn, Beijing 100191, Peoples R China.

会议论文集：13th European-Alliance-for-Innovation (EAI) International Conference on Collaborative Computing - Networking, Applications and Worksharing (CollaborateCom)

会议日期：DEC 11-13, 2017

会议地点：Edinburgh, SCOTLAND

语种：英文

外文关键词：Lidar; Self-driving car; LNA; Navigation; Linear regression

摘要：Existing navigation methods are generally based on GPS or cameras and these methods have limitations in terms of signal strength and brightness. To overcome drawbacks of navigation methods above, we propose a Lidar-based Navigation Approach (LNA) to predict movement trajectory of self-driving vehicles through road edges information, and this approach is a fitting and real-time regression method. By combining regression model with vehicle coordinate system, navigation trajectory is accurately generated. Experiments on common road scenarios demonstrate that our approach is effective to improve navigation techniques.