Sensors 2010, 10(12), 10683-10700; doi:10.3390/s101210683
Article

Wall-Corner Classification Using Sonar: A New Approach Based on Geometric Features

Instituto de Automática e Informática Industrial (ai2) 1, Universidad Politécnica de Valencia, C/. de Vera, s/n, 46022, Valencia, Spain
* Author to whom correspondence should be addressed.
Received: 13 October 2010; in revised form: 19 November 2010 / Accepted: 26 November 2010 / Published: 30 November 2010
(This article belongs to the Section Physical Sensors)
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Abstract: Ultrasonic signals coming from rotary sonar sensors in a robot gives us several features about the environment. This enables us to locate and classify the objects in the scenario of the robot. Each object and reflector produces a series of peaks in the amplitude of the signal. The radial and angular position of the sonar sensor gives information about location and their amplitudes offer information about the nature of the surface. Early works showed that the amplitude can be modeled and used to classify objects with very good results at short distances—80% average success in classifying both walls and corners at distances less than 1.5 m. In this paper, a new set of geometric features derived from the amplitude analysis of the echo is presented. These features constitute a set of characteristics that can be used to improve the results of classification at distances from 1.5 m to 4 m. Also, a comparative study on classification algorithms widely used in pattern recognition techniques has been carried out for sensor distances ranging between 0.5 to 4 m, and with incidence angles ranging between 20º to 70º. Experimental results show an enhancement on the success in classification rates when these geometric features are considered.
Keywords: target classification; target localization; map building; ultrasonic sensors; classification algorithms

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MDPI and ACS Style

Martínez, M.; Benet, G. Wall-Corner Classification Using Sonar: A New Approach Based on Geometric Features. Sensors 2010, 10, 10683-10700.

AMA Style

Martínez M, Benet G. Wall-Corner Classification Using Sonar: A New Approach Based on Geometric Features. Sensors. 2010; 10(12):10683-10700.

Chicago/Turabian Style

Martínez, Milagros; Benet, Ginés. 2010. "Wall-Corner Classification Using Sonar: A New Approach Based on Geometric Features." Sensors 10, no. 12: 10683-10700.

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