3 accepted papers
High-definition (HD) maps are essential for autonomous driving, as they provide precise road information for downstream tasks. Recent advances highlight the potential of temporal modeling in addressing challenges like occlusions and extended perception range. However, existing methods either fail to
Reliable high-definition (HD) map construction is crucial for the driving safety of autonomous vehicles. While recent studies demonstrate improved performance, their generalization capability across unfamiliar driving scenes remains unexplored. To tackle this issue, we propose UIGenMap, an uncertain…
Currently high-definition (HD) map construction leans towards a lightweight online generation tendency which aims to preserve timely and reliable road scene information. However map elements contain strong shape priors. Subtle and sparse annotations make current detection-based frameworks ambiguous…