Development of a Photorealistic Simulation Platform for Model-Based Development of End-to-End Autonomous Driving
E2E自動運転MBDに向けたフォトリアルシミュレーション基盤の開発
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266230
- Paper/Info type
- Proceedings (Autumn)
No.140-26
- Pages
- 1-3(Total 3 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 仲村 佳悟, 2) 横山 美優 |
|---|---|
| Author(E) | 1) Keigo Nakamura, 2) Miyu Yokoyama |
| Affiliation(J) | 1) アイシン, 2) アイシン |
| Affiliation(E) | 1) Aisin, 2) Aisin |
| Abstract(J) | CGベースの自動運転シミュレーションは，実映像とのドメインギャップや高い構築コストが課題である．本研究では3次元ガウシアンスプラッティングと車両モデルを同時にシミュレーションすることで，フォトリアル性と車両運動の正確性を両立したシミュレーション基盤を構築し，評価を行った． Translation |
| Abstract(E) | CG-based autonomous driving simulation faces challenges such as domain gaps with real-world imagery and high modeling costs. To address these issues, this study proposes a simulation platform that jointly simulates 3D Gaussian Splatting and vehicle dynamics. By tightly integrating photorealistic scene representation with physically consistent vehicle motion, the proposed approach achieves both visual realism and motion accuracy. The platform is evaluated through experiments, confirming its effectiveness for model-based development (MBD) of autonomous driving systems. |
