A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system
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
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.
Source: Scopus
A bio-inspired visual collision detection mechanism for cars: combining insect inspired neurons to create a robust system.
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
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.
Source: PubMed
A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system
Authors: Stafford, R., Santer, R.D. and Rind, F.C.
Journal: BIOSYSTEMS
Volume: 87
Issue: 2-3
Pages: 164-171
eISSN: 1872-8324
ISSN: 0303-2647
DOI: 10.1016/j.biosystems.2006.09.010
Source: Web of Science (Lite)
A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system
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
Source: Manual
Preferred by: Rick Stafford
A bio-inspired visual collision detection mechanism for cars: combining insect inspired neurons to create a robust system.
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
DOI: 10.1016/j.biosystems.2006.09.010
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.
Source: Europe PubMed Central