PERCEPT: a sophisticated experimental set-up dedicated to heterogeneous sensor fusion

The study of perception, an essential function for autonomous robotics, has led to new developments in the fields of modeling, stochastic data processing, and control. The authors describe a surveillance robot dedicated to heterogeneous data fusion algorithms' implementation and real-size real-time testing, which has become necessary to validate these emerging techniques in a realistic environment. This robot holds various sensors mounted on rotational units and provides a multi-degree-of-freedom command. The design includes original distributed hardware and software architectures encompassing the specific data processing, fusion, and feedback control. Modularity and a user-friendly interface allow easy design of perception control applications.<<ETX>>

[1]  B. Zavidovique,et al.  Multisensor stochastic integration and control , 1989, Proceedings. ICCON IEEE International Conference on Control and Applications.

[2]  E. Feron,et al.  Targets, sensors and infinite-horizon tracking optimality , 1990, 29th IEEE Conference on Decision and Control.

[3]  Christian Olivier,et al.  Real-time 3D-tracking using acoustics-vision data fusion , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[4]  O. Dessoude,et al.  Multiple maneuvering target tracking: a memory-constrained minimum risk approach , 1992 .

[5]  O. Dessoude,et al.  ROBOT PERCEPTION SYSTEMS: ACOUSTICS VISION SET-UP CONTROL , 1989 .