We shotu how to combine ultrasonic sensor data with an artificial neural network to estimate object positions (distance rscr; and bearing Theta;). Acoustic ...

A Transputer-based Neural Network to Determine Object. Positions from Tri-aural Ultrasonic Sensor Data. J. Chen, H. Perelnails and J. M. Van Campeiihout.

Experimental results on object position measurement show that a neural network of the multilayer perceptron type can be trained to do this task, ...

A Transputer-Based Neural Network to Determine Object Positions from Tri-Aural Ultrasonic Sensor Data. Proc. of the Euromicro Workshop on Parallel and ...

A Transputer-based Neural Network To Determine Object Positions From Tri-aural Ultrasonic Sensor Data pp. 93-100. Session 5: Networks And Communications pp.

Sep 28, 2024 · A Transputer-based Neural Network To Determine Object Positions From Tri-aural Ultrasonic Sensor Data. PDP 1994: 93-100. [c4]. view. electronic ...

A transputer-based neural network to determine object positions from tri-aural ultrasonic sensor data. In 2nd Euromicro Workshop on parallel and distributed ...

In this paper we explore the potential of Heteroassociative MNN (HMNN) for a vision based practical task, that of self-localization in a vision-based navigation ...

A tri-aural sensor consists of one ultrasonic transceiver and two additional receivers. With it the robot can determine accurate position estimates, both ...

W. S. H. Munro, "Ultrasonic phased arrays for use in imaging and automatic vehicle guidance", PhD thesis, Nottingham university, 1990.