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Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2927123
Abstract: In this letter, we develop a low-cost stereo visual-inertial localization system, which leverages efficient multi-state constraint Kalman filter (MSCKF)-based visual-inertial odometry (VIO) while utilizing an a priori LiDAR map to provide bounded-error three-dimensional navigation. Besides…
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Keywords:
prior lidar;
map constraints;
inertial localization;
visual inertial ... See more keywords