Modular algorithms for depth characterization of object surfaces with ultrasonic sensors

Michel J.L. Brule; L. Soucy

doi:10.1117/12.25487

1 March 1991 Modular algorithms for depth characterization of object surfaces with ultrasonic sensors

Michel J.L. Brule, L. Soucy

Proceedings Volume 1388, Mobile Robots V; (1991) https://doi.org/10.1117/12.25487
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

A method is introducedfor implementing a 3-D vision system considering manufacturing cost constraints stringent reliability requirements and limited processing power. It entails transducer characterization and includes a scanning algorithm and low-complexity processing algorithms providing position shape and orientation information about an unknown surface. A highly modular approach subdivides the problem into separable and sequential processing modules gradually modifying a " data matrix" obtained from a scanning algorithm. Some models considered for planar and curved surface analysis are described. Theoretical and experimental background validating the implemented algorithms is presented.

Citation Download Citation

Michel J.L. Brule and L. Soucy "Modular algorithms for depth characterization of object surfaces with ultrasonic sensors", Proc. SPIE 1388, Mobile Robots V, (1 March 1991); https://doi.org/10.1117/12.25487

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