Lidar Absolute Pose Regression

Lidar Absolute Pose Regression is a computer vision technique based on LiDAR data, aiming to estimate the precise position and orientation of objects or sensors in 3D space through point cloud data. The goal of this technology is to achieve high-precision localization and orientation, providing critical support for applications in autonomous driving, robot navigation, and augmented reality. By optimizing algorithms and utilizing deep learning models, Lidar Absolute Pose Regression can significantly enhance the system's environmental perception and autonomous decision-making capabilities.