Maps can greatly improve vehicle localization using perception sensors that detect features georeferenced in the map. This relies on two assumptions.

Abstract—Maps can greatly improve vehicle localization using perception sensors that detect features georeferenced in the map.

Sep 30, 2019 · Localization cross-track error on a section of road where the map is erroneous. The blue line is the error of an estimation assuming every ...

Abstract—Maps can greatly improve vehicle localization using perception sensors that detect features georeferenced in the map.

Maps can greatly improve vehicle localization using perception sensors that detect features georeferenced in the map. This relies on two assumptions.

Localization is one of the main challenges to be addressed to develop autonomous vehicles able to perform complex maneuvers on roads opened to public traffic.

Anthony Welte, Philippe Xu, Philippe Bonnifait, Clément Zinoune: Estimating the reliability of georeferenced lane markings for map-aided localization.

Estimating the Reliability of Georeferenced Lane Markings for Map-Aided Localization by Anthony Welte, Philippe Xu, Philippe Bonnifait, Clement.

Estimating the reliability of georeferenced lane markings for map-aided localization. A Welte, P Xu, P Bonnifait, C Zinoune. 2019 IEEE Intelligent Vehicles ...

Robust LiDAR Localization on an HD Vector Map without a Separate Localization Layer · Estimating the reliability of georeferenced lane markings for map-aided ...