2 papers
cs.RO2026
The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms
Lingdong Kong, Shaoyuan Xie, Zeying Gong +135
Autonomous systems are increasingly deployed in open and dynamic environments -- from city streets to aerial and indoor spaces -- where perception models must remain reliable under…
cs.CV2025
Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning
Aodi Wu, Xubo Luo
This technical report presents our solution for the RoboSense Challenge at IROS 2025, which evaluates Vision-Language Models (VLMs) on autonomous driving scene understanding across…