The AI Driving Olympics (AI-DO) is a series of embodied intelligence competitions in the field of autonomous vehicles. The objective of AI-DO is to provide accessible mechanisms for benchmarking progress in autonomy applied to the task of autonomous driving.
Read more about the AI-DO objectives here.
Leagues each present several tasks to solve (“challenges”) and run with independent platforms and logistics. Read on to know more!
Urban Driving with Duckietown
In this league, you will submit robotic agents using the Duckietown platform for solving precision autonomous driving tasks in simulation and on real Duckiebots: lane following, lane following with other vehicles, lane following with intersections, and lane following with vehicle and intersections.
Advanced Perception with nuScenes
In this league you will use the nuScenes dataset, to tackle three perception challenges related to real-world autonomous vehicles: object detection, panoptic lidar segmentation and panoptic lidar tracking.
Racing with AWS Deepracer
In this league, you will use the AWS Deepracer platform to train a reinforcement learning agent (i.e., an autonomous car) to drive by interacting with its environment and a simulated track, to complete a lap as fast as possible without going off-track while avoiding crashing into the objects on the track.
The Final Event
The AI Driving Olympics 2021 will have two phases:
- 11.25-11.45 GMT – Overview presentation (Competition track day 4)
- 11.45-13.55 GMT – Main event (Zoom breakout room just after presentation)
- 11.45-12.05: Introduction
- 12.05-12.35: Urban Driving League
- 12.35-13.15: Advanced Perception League
- 13.15-13.45: Racing League
- 13.45-13.55: Conclusion