taco-group/GenAI4AD

a comprehensive and critical synthesis of the emerging role of GenAI across the full autonomous driving stack

38
/ 100
Emerging

This resource provides a comprehensive overview of how Generative AI can be applied across all aspects of autonomous driving. It compiles information on various datasets, from single-vehicle perception to motion forecasting, and outlines different generative methods for creating images, LiDAR, trajectories, and 3D scenes. Autonomous vehicle researchers and engineers can use this to understand the current landscape and future potential of GenAI in developing self-driving systems.

231 stars. No commits in the last 6 months.

Use this if you are an autonomous driving researcher or engineer looking for a structured synthesis of Generative AI applications, methods, and relevant datasets for self-driving technology development.

Not ideal if you are looking for ready-to-use code, a specific software library, or practical implementation details for integrating Generative AI into an existing autonomous driving stack.

autonomous-driving robotics-perception motion-planning sensor-fusion vehicle-simulation
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 11 / 25

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Stars

231

Forks

15

Language

License

MIT

Last pushed

Sep 20, 2025

Commits (30d)

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