FPGA design and implementation of a real-time vehicle detection system

In this paper, we propose a real-time vehicle detection system based on stereo vision system. Our system is composed of pipelined parallel processing techniques based on dedicated hardware architecture. The entire vehicle detection process, including histogram equalization, Canny edge detection, veh...

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Bibliographic Details
Main Authors: Jungdong Jin, Vinh Dinh Nguyen, Sang Jun Lee, Jae Wook Jeon
Format: Conference Proceeding
Language:English
Subjects:
Field programmable gate arrays
field-programmable gate array
Hardware
hardware architecture
Histograms
Image edge detection
Real-time systems
stereo vision
Vehicle detection
Vehicles
Online Access:Request full text
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Summary:In this paper, we propose a real-time vehicle detection system based on stereo vision system. Our system is composed of pipelined parallel processing techniques based on dedicated hardware architecture. The entire vehicle detection process, including histogram equalization, Canny edge detection, vehicle corner detection, vehicle region expansion, and vehicle validation, is made using a single field-programmable gate array (FPGA) without any external devices. Our system is about 3 times faster than a software program on a computer, and it shows high accuracy and low false rate. Thus, our proposed system is suitable for real-time processing.