3 papers
cs.CV2025
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
Fanheng Kong, Jingyuan Zhang, Hongzhi Zhang +7
Videos are unique in their integration of temporal elements, including camera, scene, action, and attribute, along with their dynamic relationships over time. However, existing ben…
cs.CV2024
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
Hidehisa Arai, Keita Miwa, Kento Sasaki +4
Autonomous driving, particularly navigating complex and unanticipated scenarios, demands sophisticated reasoning and planning capabilities. While Multi-modal Large Language Models…
cs.CV2023
Evaluation of Large Language Models for Decision Making in Autonomous Driving
Kotaro Tanahashi, Yuichi Inoue, Yu Yamaguchi +11
Various methods have been proposed for utilizing Large Language Models (LLMs) in autonomous driving. One strategy of using LLMs for autonomous driving involves inputting surroundin…