PERCEPTION
Autonomous Racing
Felix Nobis, Johannes Betz, Leonhard Hermansdorfer, Markus Lienkamp
- Year
- 2019
- Citations
- 12
Abstract
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.
Keywords
RoboticsArtificial intelligenceSimultaneous localization and mappingRobotTask (project management)Computer scienceField (mathematics)Computer visionMobile robotScale (ratio)
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