Deep Learning
Object Detection
口頭発表
歩行者が交差点に存在するシーンにおける物体検出モデルの精度評価
- Author
- 鈴木陽太郎，板谷秀典，平川翼，山下隆義, 藤吉弘亘
- Publication
- 自動車技術会秋季大会, 2024
Download: PDF (Japanese)
Evaluation of object detection models for automated vehicles requires a large amount of evaluation data. However, collecting evaluation data in
a real environment is extremely costly. Therefore, it is expected that a variety of evaluation data can be created by using a computer graphics
environment. In this study, an evaluation scene is created using a DIVP simulator to evaluate the detection accuracy of object detection models.