文献类型：期刊文献

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, Meng

机构：[1] State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China; [2] State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China; [3] College of Robotics, Beijing Union University, Beijing, China

第一机构：State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

年份：2018

卷号：252

起止页码：718-727

外文期刊名：Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

收录：EI(收录号：20184205954204)

语种：英文

外文关键词：Air navigation - Optical radar - Roads and streets - Inertial navigation systems - Regression analysis

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. ? 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.