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Design Of Vehicle Flow Detection System Based On FPGA

Posted on:2020-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:J J LiuFull Text:PDF
GTID:2392330572985942Subject:Engineering
Abstract/Summary:PDF Full Text Request
Moving target detection is an important part of intelligent transportation,which enables real-time monitoring and analysis of road conditions.Traditional vehicle traffic detection systems are mostly designed using PC or ARM architecture,but they have the disadvantages of high power and poor portability.In this dissertation,a vehicle traffic detection system based on ARM+FPGA is designed.The system uses the new SOC chip ZYNQ-7000 from Xilinx as the platform.The ZYNQ series chip is embedded with a dual-core Cortex-A9 processor and FPGA programmable logic.The Processing System(PS)section is used to design application design such as vehicle tracking statistics.Hardware acceleration is performed using the highly parallel features of Programmable Logic(PL).The CMOS camera is designed for high-speed acquisition,motion detection based on HLS to improve the interframe difference method,VDMA buffer and display driver.The dissertation mainly completes the following work:(1)The overall structure design of the system,the system image acquisition and display principle,the Vivado HLS design tool and its design flow,the sub-algorithms in the HLS image preprocessing algorithm and the improved basic principle of the inter-frame difference method are introduced in detail.(2)The hardware design part of the system introduces the hardware structure design of the traffic flow detection system,CMOS camera drive design,AXI interface design,VDMA design,HLS image pre-processing IP design and the construction and verification of the overall hardware circuit.(3)The software design part of the system introduces the embedded environment construction of the system,the transplantation of Linux,the drive design of VDMA buffer and HLS IP,the third-party library transplantation,the QT GUI design,and the principle of vehicle statistical tracking algorithm.(4)System debugging and test results and analysis.Performance testing and comparison of software algorithms and hardware design,verify that the system has achieved the design goals.
Keywords/Search Tags:intelligent transportation, improved interframe difference, hardware acceleration, software and hardware co-design
PDF Full Text Request
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