4 papers
PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping
Chikao Tsuchiya, Dhaval Bhanderi, David Ilstrup +2
A critical challenge in deploying online HD map construction systems to real-world scenarios is the scarcity of labeled training data, which limits model generalization in diverse…
D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Prediction
Seojun Shon, Chikao Tsuchiya, Dhaval Bhanderi +3
Accurate, up-to-date representations of road structures are critical for the safe operation of autonomous vehicles. Existing systems rely either on costly, maintenance-heavy high-d…
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte +2
Lane-topology prediction is a critical component of safe and reliable autonomous navigation. An accurate understanding of the road environment aids this task. We observe that this…
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs
Hitvarth Diwanji, Jing-Yan Liao, Akshar Tumu +3
High-definition maps (HD maps) are detailed and informative maps capturing lane centerlines and road elements. Although very useful for autonomous driving, HD maps are costly to bu…