1. Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
- 2023, 10, 112회 인용
- https://wayve.ai/wp-content/uploads/2024/04/2310.01957.pdf
- https://github.com/wayveai/Driving-with-LLMs
- 448 star
- https://velog.io/@jk01019/Driving-with-LLMs-Fusing-Object-Level-Vector-Modality-for-Explainable-Autonomous-Driving
2. Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
- 2023 7, 118회 인용
- https://arxiv.org/pdf/2307.07162
- https://github.com/PJLab-ADG/DriveLikeAHuman
- 360 star
3. GPT-Driver: Learning to Drive with GPT
- 2023, 160회 인용
- https://github.com/PointsCoder/GPT-Driver?tab=readme-ov-file
- 230 star
4. ADAPT: Action-aware Driving Caption Transformer
- 2023, 57 회 인용
- https://arxiv.org/pdf/2302.00673
- https://github.com/jxbbb/ADAPT#adapt-action-aware-driving-caption-transformer
- 391 stars
5. DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
- 2023, 85회 인용
- https://arxiv.org/pdf/2309.09777
- https://github.com/JeffWang987/DriveDreamer
- 360 stars
6. DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model
- 2023, 24회 인용
- https://arxiv.org/pdf/2310.07771
- https://github.com/shalfun/DrivingDiffusion
- 557 stars
새로운 것이 들어오면 이미 있는 것과 충돌을 시도하라.