3 accepted papers
Public datasets such as KITTI nuScenes and Waymo have played a key role in the research and development of autonomous vehicles and advanced driver assistance systems. However many of these datasets fail to incorporate a full range of driving conditions; some datasets only contain clear-weather condi…
Modern localization techniques allow ground vehicle robots to determine their position with centimeter-level accuracy under nominal conditions, enabling them to utilize fixed maps to navigate their environments. However, when localization measurements become unavailable, the position accuracy will d…
Accurate vehicle localization is arguably the most critical and fundamental task for autonomous vehicle navigation. While dense 3D point-cloud-based maps enable precise localization, they impose significant storage and transmission burdens when used in city-scale environments. In this paper, we prop…