Real-Time Electric Vehicle Collision Avoidance System Under Foggy Environment Using Raspberry Pi Controller and Image Processing Algorithm

2020 ◽  
pp. 111-118
Author(s):  
Arvind R. Yadav ◽  
Jayendra Kumar ◽  
Roshan Kumar ◽  
Shivam Kumar ◽  
Priyanshi Singh ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Electric Vehicle ◽  
Collision Avoidance ◽  
Pi Controller ◽  
Processing Algorithm ◽  
Raspberry Pi ◽  
Image Processing Algorithm ◽  
Vehicle Collision ◽  
Collision Avoidance System

Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

2019 ◽  
Vol 20 (7) ◽  
pp. 1139-1148 ◽  
Author(s):  
Seungho Choi ◽  
Kwangyoon Kim ◽  
Jaeho Lee ◽  
Sung Hyuk Park ◽  
Hye-Jin Lee ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Hole Expansion ◽  
Expansion Test ◽  
Hole Expansion Test

Research of Automobile Collision Avoidance System Based on Video Image Processing

2015 ◽  
Vol 734 ◽  
pp. 312-320 ◽  
Author(s):  
Jun Gao ◽  
Hong Hui Zhu ◽  
Bin Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Collision Avoidance ◽  
High Reliability ◽  
Video Image ◽  
Segmentation Algorithm ◽  
Real Time System ◽  
Embedded Platform ◽  
Collision Avoidance System ◽  
Video Image Processing

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.

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