6 citations · 7 across the 4 of their papers we have counts for
4 papers
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
Yuichi Inoue, Kento Sasaki, Yuma Ochi +3
Vision Language Models (VLMs) have undergone a rapid evolution, giving rise to significant advancements in the realm of multimodal understanding tasks. However, the majority of the…
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations
Yuichi Inoue, Yuki Yada, Kotaro Tanahashi +1
Visual Question Answering (VQA) is one of the most important tasks in autonomous driving, which requires accurate recognition and complex situation evaluations. However, datasets a…
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…
SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous Driving
Shunsuke Aoki, Issei Yamamoto, Daiki Shiotsuka +3
Fully autonomous driving has been widely studied and is becoming increasingly feasible. However, such autonomous driving has yet to be achieved on public roads, because of various…