scholarly journals Real Time Traffic Light Detection Algorithm Based on Color Map and Multilayer HOG-SVM

2017 ◽  
Vol 22 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Sanggi Kim ◽  
Dong Seog Han
2018 ◽  
Author(s):  
Guizhen Yu ◽  
Ao Lei ◽  
Honggang Li ◽  
Yunpeng Wang ◽  
Zhangyu Wang ◽  
...  

Autonomous vehicles are the reality of the future, they will open up the way for future advanced systems where computers are expected to take over the decision making of driving. These automobiles are capable of sensing their environment and moving with little or no human input. The main goal of this research is to detect traffic light in real-time for autonomous vehicles. Apart from taking decisions to navigate in the right manner the autonomous vehicles important task is to detect traffic lights, so that it can obey the traffic rules with sufficient precision. The work carried out in this research makes use of two Artificial Intelligence technique, these techniques are compared in accomplishing the task of traffic light detection in real time. The two models that are designed and implemented are Convolution neural network (CNN) and Deep Convolution Inverse Graphics Network (DCIGN). The results clearly show that DCIGN out performance CNN by 8%.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 178167-178176
Author(s):  
Xue-Hua Wu ◽  
Renjie Hu ◽  
Yu-Qing Bao

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