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Conference Papers Year : 2013

Avoiding Moving Obstacles during Visual Navigation

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Abstract

Moving obstacle avoidance is a fundamental requirement for any robot operating in real environments, where pedestrians, bicycles and cars are present. In this work, we design and validate a new approach that takes explicitly into account obstacle velocities, to achieve safe visual navigation in outdoor scenarios. A wheeled vehicle, equipped with an actuated pinhole camera and with a lidar, must follow a path represented by key images, without colliding with the obstacles. To estimate the obstacle velocities, we design a Kalman-based observer. Then, we adapt the tentacles designed in [1], to take into account the predicted obstacle positions. Finally, we validate our approach in a series of simulated and real experiments, showing that when the obstacle velocities are considered, the robot behaviour is safer, smoother, and faster than when it is not.
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Dates and versions

lirmm-00808317 , version 1 (05-04-2013)

Identifiers

  • HAL Id : lirmm-00808317 , version 1

Cite

Andrea Cherubini, Boris Grechanichenko, Fabien Spindler, François Chaumette. Avoiding Moving Obstacles during Visual Navigation. ICRA: International Conference on Robotics and Automation, May 2013, Karlsruhe, Germany. pp.3054-3059. ⟨lirmm-00808317⟩
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