Summary: This repository indexes CVPR 2024 research papers on autonomous driving. It targets researchers and engineers, providing a centralized resource to discover and evaluate the latest academic advancements, with direct links to papers and code, accelerating R&D.

How It Works: The project categorizes CVPR 2024 autonomous driving papers into key areas: End-to-End driving, LLM Agents, Semantic Scene Completion (SSC), Occupancy Prediction (OCC), World Models, and 3D Object Detection. For each paper, it links to its arXiv pre-print and, where available, its GitHub repository for code, enabling efficient exploration of novel algorithms and datasets.

Quick Start & Requirements: This repository is a link collection, not a runnable project. Users must consult individual GitHub repositories for installation instructions, dependencies (e.g., GPU, CUDA, Python), and setup.

Highlighted Details:

• Broad Topical Coverage: Includes LLM agents, vision-language models, semantic scene completion, 3D occupancy prediction, and world models.
• Code Accessibility: Links to official code repositories, enhancing reproducibility and integration.
• Emerging AI Applications: Features AI Generated Content (AIGC) for autonomous driving scene/video synthesis.
• Timely Curation: Actively maintained, prioritizing arXiv papers for prompt access.

Maintenance & Community: Continuously updated, welcomes contributions and paper promotion inquiries. Associated with the "Auto Driving Heart" community, which offers a knowledge planet for paper interpretation, structured learning paths across autonomous driving sub-domains, and industry connections. A join link for this community is mentioned but not provided.

Licensing & Compatibility: No license is declared for this repository. Users must check individual paper/code licenses for usage, modification, and distribution terms.

Limitations & Caveats: Functions solely as an index to external resources; utility depends on external maintainers. Scope limited to CVPR 2024 papers, potentially missing newer research from other venues.