Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors

We demonstrate a self-supervised approach which learns to detect long-range obstacles from video: it automatically obtains training labels by associating the camera frames acquired at a given pose to short-range sensor readings acquired at a different pose.

Authors

• Mirko Nava
• Jérôme Guzzi
• R. Omar Chavez-Garcia
• Luca M. Gambardella
• Alessandro Giusti

Keywords

No keywords are indexed for this paper.