Kota Shimomura — accepted AI-conference papers

2026

P2GS: Physical Prior-guided Gaussian Splatting for Photometrically Consistent Urban Reconstruction

Kota Shimomura, Hidehisa Arai, Tsubasa Takahashi, Takayoshi Yamashita, Hironobu Fujiyoshi

CVPR 2026

3D Gaussian Splatting (3DGS) has recently emerged as a powerful explicit representation enabling fast, high-fidelity rendering, making it a promising foundation for closed-loop simulators and perception models in autonomous driving. However, conventional 3DGS implicitly assumes consistent exposure a

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2025

OD-RASE: Ontology-Driven Risk Assessment and Safety Enhancement for Autonomous Driving

Kota Shimomura, Masaki Nambata, Atsuya Ishikawa, Ryota Mimura, Koki Inoue, Takayoshi Yamashita +1

ICCV 2025poster

Although autonomous driving systems demonstrate high perception performance, they still face limitations when handling rare situations or complex road structures. Since existing road infrastructures are designed for human drivers, safety improvements are typically introduced only after accidents occ…

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