Abstract
In order to improve the driving safety of vehicles in foggy environment, a set of intelligent control system for vehicle fog lamp that can automatically control the fog lamp on and off by identifying the weather conditions is designed. Firstly, Jetson Nano, IMX219 camera, Raspberry PI display and LED indicator simulating fog lamp were selected as the system hardware components. Secondly, a weather recognition algorithm based on capsule network was designed. In the process of testing images which contain foggy, rainy, cloudy and sunny days, the recognition accuracy of the algorithm is 97.5%. Finally, the algorithm model was transplanted to Jetson Nano for debugging and testing. The test results show that the intelligent control system of vehicle fog lamp based on Jetson Nano basically meets the design goals and functional requirements of the system, that is, the fog lamp can be automatically turned on/off in foggy/nonfoggy environment.
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