Robust Localization in 3D Prior Maps for Autonomous Driving
University of Michigan Ann Arbor United States
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In order to navigate autonomously, many self-driving vehicles require precise localization within an a priori known map that is annotated with exact lane locations, traffic signs, and additional metadata that govern the rules of the road. This approach transforms the extremely difficult and unpredictable task of online perception into a more structured localization problem--where exact localization in these maps provides the autonomous agent a wealth of knowledge for safe navigation.
- Navigation and Guidance