Intelligent Weeding Robot project background is to realize unmanned weeding task for lawn. The project contains a total of AI visual obstacle classification and recognition, Multi-sensor offline and online calibration, visual inertial odometry, global position estimation based on multi-sensor fusion, LIDAR and depth camera based obstacle detection technology and multi-sensor fusion 3D obstacle detection technology.

The Automated Valet Parking project contains a total of multi-task perception system, multi-sensor offline and online calibration, visual inertial odometry, global position estimation based on multi-sensor fusion, semantic map construction, semantic map-based localization and repositioning, travel lane and parking planning, and vehicle control algorithms.

The background of the Road Path Acquisition System project is that the lane lines of the highway have been severely worn for a long time and need to be re-striped. The location information of lane lines needs to be collected before construction. The project contains a total of AI lane line perception algorithm, Multi-sensor offline and online calibration, visual inertial odometer, global position estimation based on multi-sensor fusion, online construction of vectorized lane lines based on factor graphs.

The background of the project is that the position of the surround-view camera has shifted due to prolonged operation or subsequent maintenance work, and needs to be recalibrated. It needs to be re-calibrated, and the external reference of the camera needs to be corrected on-line during road driving.