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

Authors

  • Mirko Nava Dalle Molle Institute for Artificial Intelligence
  • Jérôme Guzzi Dalle Molle Institute for Artificial Intelligence
  • R. Omar Chavez-Garcia Dalle Molle Institute for Artificial Intelligence
  • Luca M. Gambardella Dalle Molle Institute for Artificial Intelligence
  • Alessandro Giusti Dalle Molle Institute for Artificial Intelligence

DOI:

https://doi.org/10.1609/aaai.v33i01.33019867

Abstract

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.

AAAI-19 Proceedings Cover

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Published

2019-07-17

How to Cite

Nava, M., Guzzi, J., Chavez-Garcia, R. O., Gambardella, L. M., & Giusti, A. (2019). Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9867-9868. https://doi.org/10.1609/aaai.v33i01.33019867

Issue

Vol. 33 No. 01: AAAI-19, IAAI-19, EAAI-20

Section

Demonstration Track