说明: Abstract— In this paper, we develop a low-cost stereo visualinertial localization system, which leverages efficient multistate constraint Kalman filter (MSCKF)-based visual-inertial odometry (VIO) while utilizing an a priori LiDAR map to provide bou <qq_16481211> 上传 | 大小:3mb