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Style Transfer Deep Learning Framework for Nighttime Robust Vehicle Detection in On-Road Mobile Platforms
http://doi.org/10.5626/JOK.2019.46.9.968
Car recognition has become an important part of self-driving car technologies. In autonomous driving, vehicle detection techniques are important to prevent vehicle-to-vehicle accidents. Traditional image processing methods for vehicle detection perform car detection via deep learning. Studies indicate that although these methods are effective in more than fifty percent of cases in daytime detection, their performance is insufficient for nighttime recognition. Vehicle detection is one of the tasks involved in minimizing the loss of human lives. Further, the nighttime scenario is more common, and therefore, in this paper, we propose an improved and robust method for detection of the car via filter-based image style transfer. The results of the proposed method were obtained using real-world data and experiments, and indicate the superiority of our method compared with other methods in terms of accuracy of ideal segmentation.
Artificial Potential Function for Driving a Road with Traffic Light
Traffic light rules are one among the most common and important safety rules as the directly correlate with the safety of pedestrians. Consequently, an algorithm is required to cause an automated (or semi-automated) vehicle to observe traffic light signals. We present a novel, artificial potential function to guide an automated vehicle through traffic lights. Our function consists of three potential function components representing the three traffic light colors: green, yellow, and red. The traffic light potential function smoothly changes an artificial potential field using the elapsed time for the current light and light conversion. Our traffic light potential function is combined with other potential functions to guide vehicles’ movement and constructs the final artificial potential field. Using various simulations, we found or method successfully guided the vehicle to observe traffic lights while behaving like human-controlled cars.
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