Laser-to-radar sensing redundancy for resilient perception in adverse environmental conditions


Autoria(s): Gerardo-Castro, Marcos P.; Peynot, Thierry
Data(s)

01/12/2012

Resumo

This paper presents an approach to promote the integrity of perception systems for outdoor unmanned ground vehicles (UGV) operating in challenging environmental conditions (presence of dust or smoke). The proposed technique automatically evaluates the consistency of the data provided by two sensing modalities: a 2D laser range finder and a millimetre-wave radar, allowing for perceptual failure mitigation. Experimental results, obtained with a UGV operating in rural environments, and an error analysis validate the approach.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/67609/

Publicador

ARAA

Relação

http://eprints.qut.edu.au/67609/1/Castro-ACRA-2012.pdf

http://www.araa.asn.au/acra/acra2012/papers/pap138.pdf

Gerardo-Castro, Marcos P. & Peynot, Thierry (2012) Laser-to-radar sensing redundancy for resilient perception in adverse environmental conditions. In Proceedings of the 2012 Australasian Conference on Robotics & Automation, ARAA, Victoria University of Wellington, New Zealand.

Direitos

Copyright 2012 Please consult the authors

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #Reliable Perception #laser range finder #radar #mobile robots #sensor fusion
Tipo

Conference Paper