SLAM and Map-Based Localization
Abstract
Automated driving functions such as route following assist or fully automated driving in urban environments are already being realized today in series and pilot projects [1, 2]. A prerequisite for such applications are HD maps which store static traffic elements and environmental data precisely localized. This information can be provided at runtime and support the automated vehicle efficiently in its driving function. Maps can provide information much earlier as on-board sensors, for example, due to occlusions or limited perceptual distance.
Fields of Study & Subjects
Robotics and Sensor-Based Localization
Autonomous Vehicle Technology and Safety
Automated Road and Building Extraction
Publication details
- Journal / source
- Springer eBooks
- Pages
- 375–410
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book chapter