2 citations · 2 across the 3 of their papers we have counts for
3 papers
LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving
Pranjal Paul, Anant Garg, Tushar Choudhary +2
Existing Vision-Language models (VLMs) estimate either long-term trajectory waypoints or a set of control actions as a reactive solution for closed-loop planning based on their ric…
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok +6
Talk2BEV is a large vision-language model (LVLM) interface for bird's-eye view (BEV) maps in autonomous driving contexts. While existing perception systems for autonomous driving s…
UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images
Vikrant Dewangan, Basant Sharma, Tushar Choudhary +4
Autonomous driving requires accurate reasoning of the location of objects from raw sensor data. Recent end-to-end learning methods go from raw sensor data to a trajectory output vi…