Hybrid Detection for Vehicle Blind Spot using Fisheye Camera: A Framework
Pages 250 - 253
Abstract
Many vehicular accidents occur because of a blind spot. Previous studies of blind spot reveal that an algorithm becomes weak if the car is near, car detection is 5 to 10 meters only, and the detection rate is not high. A study on fisheye detection using hybrid algorithms for vehicle blind spots can address the issues about accidents in the national and city roads. The hybrid algorithms involved for vehicle detections are rapid AdaBoost Classifier, Background Subtraction, and Color Edge Detection. This study can be very efficient and can give more accurate vehicle detection. As a result, the study will give the driver's awareness and warning from the incoming threats for any untoward accidents.
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Index Terms
- Hybrid Detection for Vehicle Blind Spot using Fisheye Camera: A Framework
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Published In
April 2019
267 pages
ISBN:9781450361064
DOI:10.1145/3330482
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Association for Computing Machinery
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Publication History
Published: 19 April 2019
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ICCAI '19
ICCAI '19: 2019 5th International Conference on Computing and Artificial Intelligence
April 19 - 22, 2019
Bali, Indonesia
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