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

This source preferred by Rick Stafford

Authors: Stafford, R., Santer, R.D. and Rind, F.C.

Journal: Biosystems

Volume: 87

Pages: 164-171

ISSN: 0303-2647

DOI: 10.1016/j.biosystems.2006.09.010

This data was imported from PubMed:

Authors: Stafford, R., Santer, R.D. and Rind, F.C.

Journal: Biosystems

Volume: 87

Issue: 2-3

Pages: 164-171

ISSN: 0303-2647

DOI: 10.1016/j.biosystems.2006.09.010

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.

This data was imported from Scopus:

Authors: Stafford, R., Santer, R.D. and Rind, F.C.

Journal: BioSystems

Volume: 87

Issue: 2-3

Pages: 164-171

ISSN: 0303-2647

DOI: 10.1016/j.biosystems.2006.09.010

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.

This data was imported from Web of Science (Lite):

Authors: Stafford, R., Santer, R.D. and Rind, F.C.

Journal: BIOSYSTEMS

Volume: 87

Issue: 2-3

Pages: 164-171

ISSN: 0303-2647

DOI: 10.1016/j.biosystems.2006.09.010

This data was imported from Europe PubMed Central:

Authors: Stafford, R., Santer, R.D. and Rind, F.C.

Journal: Bio Systems

Volume: 87

Issue: 2-3

Pages: 164-171

eISSN: 1872-8324

ISSN: 0303-2647

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.

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