Research of Automobile Collision Avoidance System Based on Video Image Processing

Abstract:

In this paper, an automobile collision avoidance system based on video image processing is proposed for vehicle active safety. Firstly, considering the requirement of real-time system, FPGA is responsible for the core task of video image processing. In the process, this paper introduces an image segmentation algorithm to extract the Region of Interest, a fast median filtering algorithm and an improved adaptive threshold Ostu segmentation algorithm. Secondly, in the design of alarm system, we use the STM32 chip which is based on Cortex-M3 kernel as the embedded platform. Finally, in order to analyze the data obtained by image processing and make smart decisions on the embedded platform, we establish a double parameter alarm mechanism of automobile security model. It can help the drivers to take appropriate hedging measures. The system in this paper has the characteristics of low cost, real-time and high reliability. Through the debugging and experiments, the system has reached the expected effect and met the requirements of automobile collision avoidance system.

• Periodical: Applied Mechanics and Materials (Volume 734)
• Pages: 312-320
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.734.312
• Online since: February 2015
• Authors: Jun Gao*, Hong Hui Zhu, Bin Li
• Keywords: Collision Avoidance, FPGA, STM32, Video Image Processing

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