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ALIFE
2007

A Synthetic Vision System Using Directionally Selective Motion Detectors to Recognize Collision

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A Synthetic Vision System Using Directionally Selective Motion Detectors to Recognize Collision
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision recognition in dynamic environments. The synthetic vision system combines the outputs of four whole-field motion-detecting neurons each receiving inputs from a network of neurons employing asymmetric lateral inhibition to suppress their responses to one direction of motion. An evolutionary algorithm is then used to adjust the weights between the four motion-detecting neurons to tune the system to detect collisions in two test environments. To do this a population of agents each representing a proposed synthetic visual system were either shown images generated by a mobile Khepera robot navigating in a simplified laboratory environment or were shown images videoed outdoors from a moving vehicle. The agents had to cope with the local environment correctly in order to survive. After 400 generations, the best agent r...
Shigang Yue, F. Claire Rind
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where ALIFE
Authors Shigang Yue, F. Claire Rind
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