Latest Computer Vision Research From China Proposes a LiDAR-Inertial-Visual Fusion Framework Termed R3LIVE++ to Achieve Robust and Accurate State Estimation While Simultaneously Reconstructing the Radiance Map on the Fly

Simultaneous localization and mapping (SLAM) is a system that estimates sensor postures while concurrently reconstructing a 3D map of the surrounding environment using a sequence of sensor data (e.g., camera, LiDAR, IMU). SLAM has been widely used in localization and feedback control for autonomous robotics (e.g., uncrewed aerial vehicles, automated ground vehicles, and self-driving automobiles) […]

The post Latest Computer Vision Research From China Proposes a LiDAR-Inertial-Visual Fusion Framework Termed R3LIVE++ to Achieve Robust and Accurate State Estimation While Simultaneously …

ai paper summary ai shorts applications artificial intelligence china computer computer vision editors pick framework fusion lidar map research staff state tech news technology vision vision research