Autonomous Racing

摘要

The task of simultaneous localization and mapping (SLAM) is a widely studied field in robotics research in the last decades. The goal of SLAM is to create an accurate map of the environment considering uncertainties in the pose as well as the environmental perception of the robot. Historically SLAM algorithms are applied in the field of indoor robotics. Recent developments in the area of autonomous driving surge a focus for SLAM applications in large scale outdoor environments.