Real-time obstacle avoidance based on sensory information

Massimo Ianigro; Tiziana D'Orazio; Francesco P. Lovergine; Ettore Stella; Arcangelo Distante

doi:10.1117/12.143838

4 May 1993 Real-time obstacle avoidance based on sensory information

Massimo Ianigro, Tiziana D'Orazio, Francesco P. Lovergine, Ettore Stella, Arcangelo Distante

Proceedings Volume 1831, Mobile Robots VII; (1993) https://doi.org/10.1117/12.143838
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Detecting unexpected obstacles and avoiding collisions is an important task for any autonomous mobile robot. In this paper we describe an approach using a sonar-based system that we have used in our indoor autonomous mobile system. The logical design of this system is shown, followed by a description of how it builds a knowledge of the environment. The information collected of the environment can be used for many applications like real-time obstacle avoidance, environment learning, position estimation. This method builds up two kind of maps: a occupancy grid which contains the probability value of each cell to be occupied and a orientation map which contains the expected orientation of the surface of each cell in the occupancy grid. Methods for filtering raw sensor data before using it for map generation together with experimental results are shown.

Citation Download Citation

Massimo Ianigro, Tiziana D'Orazio, Francesco P. Lovergine, Ettore Stella, and Arcangelo Distante "Real-time obstacle avoidance based on sensory information", Proc. SPIE 1831, Mobile Robots VII, (4 May 1993); https://doi.org/10.1117/12.143838

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