ePrints

A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system

Lookup NU author(s): Dr Richard Stafford, Dr Roger Santer, Dr Claire RindORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

The lobula giant movement detector (LGMD) of locusts is a visual interneuron that responds with an increasing spike frequency to an object approaching on a direct collision course. Recent studies involving the use of LGMD models to detect car collisions showed that it could detect collisions, but the neuron produced collision alerts to non-colliding, translating, stimuli in many cases. This study presents a modified model to address these problems. It shows how the neurons pre-synaptic to the LGMD show a remarkable ability to filter images, and only colliding and translating stimuli produce excitation in the neuron. It then integrates the LGMD network with models based on the elementary movement detector (EMD) neurons from the fly visual system, which are used to analyse directional excitation patterns in the biologically filtered images. Combining the information from the LGMD neuron and four directionally sensitive neurons produces a robust collision detection system for a wide range of automotive test situations. © 2006 Elsevier Ireland Ltd. All rights reserved.

Publication metadata

Author(s): Stafford R, Santer RD, Rind FC

Publication type: Article

Publication status: Published

Journal: BioSystems

Year: 2007

Volume: 87

Issue: 2-3

Pages: 164-171

ISSN (print): 0303-2647

ISSN (electronic): 1872-8324

Publisher: Elsevier Ireland Ltd

URL: http://dx.doi.org/10.1016/j.biosystems.2006.09.010

DOI: 10.1016/j.biosystems.2006.09.010

PubMed id: 17027143

Altmetrics

Share