Visual impairment/color-blindness (VICB) can be challenging in many situations especially while crossing a pedestrian/cross-walk or driving a vehicle. A Traffic Light Recognition System (TLRs) may help in the accurate detection of traffic lights using a hand-held mobile device. TLR helps in reduction of accidental mortality rates. It will also help improving transportation and mobility for old aged and differently-abled people. TLR system detects the presence of traffic light in the environment and incorporates guiding assistance by notifying its color and shape to a VICB person. There may be enormous challenges in correct detection of Traffic Lights, involving non-working lights, illuminations, ego-vehicles, weather, trees, and other obstructions. A detailed discussion of the TLR System is provided for data acquisition, pre-processing, localization,feature extraction and verification stages. Finally, the conclusions are drawn and possible future scope of the field is discussed.
A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition
Lect. Notes in Networks, Syst.
International Conference on Image Processing and Capsule Networks ; 2021 ; Bangkok, Thailand May 27, 2021 - May 28, 2021
Second International Conference on Image Processing and Capsule Networks ; Chapter : 1 ; 1-14
2021-09-10
14 pages
Article/Chapter (Book)
Electronic Resource
English
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