opendilab/awesome-end-to-end-autonomous-driving
An awesome list of research papers on end-to-end autonomous driving using deep learning and reinforcement learning.
Not currently ranked — collecting fresh signals.
star history
This repository curates research papers on end-to-end autonomous driving, where neural networks map sensor inputs (RGB, LiDAR) directly to vehicle control commands (steering, throttle, brake). The list covers methods using imitation learning, reinforcement learning, and behavioral cloning trained on simulators such as CARLA. Papers are organized by venue (CVPR, NeurIPS, ICLR, CoRL) and year.
Frequently asked
- What is opendilab/awesome-end-to-end-autonomous-driving?
- An awesome list of research papers on end-to-end autonomous driving using deep learning and reinforcement learning.
- Is awesome-end-to-end-autonomous-driving open source?
- Yes — opendilab/awesome-end-to-end-autonomous-driving is open source, released under the Apache-2.0 license.
- How popular is awesome-end-to-end-autonomous-driving?
- opendilab/awesome-end-to-end-autonomous-driving has 499 stars on GitHub.
- Where can I find awesome-end-to-end-autonomous-driving?
- opendilab/awesome-end-to-end-autonomous-driving is on GitHub at https://github.com/opendilab/awesome-end-to-end-autonomous-driving.