We develop an efficient SLAM approach for 4D sparse point clouds, and publish a large dataset snail-radar
Client-server based SLAM with mobile AR sensors
An Android phone with a livox lidar for mobile mapping
Prove the observability of VIO system with full self-calibration, maintain consistent covariance for optimization-based estimators
Client-server based SLAM with mobile AR sensors
Fuse RGBD and IMU data to digitalize a place