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Cognitive Animal Recognition and Collision Avoidance for Autonomous Vehicle

IP.com Disclosure Number: IPCOM000249593D
Publication Date: 2017-Mar-07
Document File: 1 page(s) / 31K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that uses cognitive imaging and avoidance to prevent a collision between an autonomous vehicle and an animal in the road.

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This is the abbreviated version, containing approximately 100% of the total text.

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Cognitive Animal Recognition and Collision Avoidance for Autonomous Vehicle

Different animals react in different ways to danger, which requires different response strategies depending on species and size. This article addresses how animals respond to oncoming vehicles and how an autonomous vehicle can avoid a collision with an animal in the road.

The novel solution is a system that uses cognitive imaging and avoidance to prevent a collision between an autonomous vehicle and an animal in the road.

The autonomous vehicle recognizes an animal using a variety of imaging techniques, either passive or active. By identifying the species of animal and its size, the vehicle can adapt its response. The vehicle can employ a variety of accident minimization strategies, such as lights, speed reduction, sound, or course readjustment. The specific action depends on the identified animal. The novel system cognitively determines both the identification and accident minimization strategy.

For example, if a deer is in the road, then the vehicle can turn off or flash the lights and emit an appropriate sound. The vehicle can use sound imaging to direct the animal in a particular direction.

Prior art exists for general avoidance, but nothing specifically uses cognitive computing.