Duckietown offers, for free, the world’s first hardware-based massive online open course (MOOC) in AI and robotics: “Self-driving cars with Duckietown”.
Hosted on the edX platform, enroll now to learn robot autonomy hands-on: how to make real robots take their own decisions and accomplish broadly defined tasks such as lane following, object detection, planning, etc.
Step by step from the theory to the implementation, to the deployment in simulation as well as on Duckiebots.
Leverage the power of the new NVIDIA Jetson Nano-powered Duckiebot to see your algorithms come to life!
Robot Perception: Duckiebots detect lane marking on the fly and use mathematical models of their camera and environment to estimate their position and orientation in the lane.
Duckiebot Detection: driving in Duckietown is fun but safety should always be paramount. DuckieBots can detect other vehicles and estimate their relative poses to avoid collisions.
Robot Planning: as Duckietowns grow bigger, smart Duckiebots plan their path in town. Traffic signs at intersections provide landmarks to localize on the global map and determine next turns.
Pedestrian detection: there are many obstacles in Duckietown – some move and some don’t. Being able to detect pedestrians (duckies) is important to guarantee safe driving.