1 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations
Narayanan Elavathur Ranganatha, Hengyuan Zhang, Shashank Venkatramani +2
Vector maps are essential in autonomous driving for tasks like localization and planning, yet their creation and maintenance are notably costly. While recent advances in online vec…
OSM vs HD Maps: Map Representations for Trajectory Prediction
Jing-Yan Liao, Parth Doshi, Zihan Zhang +2
While High Definition (HD) Maps have long been favored for their precise depictions of static road elements, their accessibility constraints and susceptibility to rapid environment…
Robust Human Identity Anonymization using Pose Estimation
Hengyuan Zhang, Jing-Yan Liao, David Paz +1
Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms. The human identity anonymization should be robust so tha…