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A Research Based on Da Vinci Platform of Image Processing Module about Lane Departure Warning System

Author: FuQiang
Tutor: ZuoQiuHong
School: Chang'an University
Course: Vehicle Engineering
Keywords: Image processing DaVinci platform Lane departure Edge Detection Hard disk storage
CLC: U463.6
Type: Master's thesis
Year: 2011
Downloads: 52
Quote: 1
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Abstract


With China's rapid economic development , the car is more widely spread to every corner of our lives , the traffic accident potential crisis , however , we are faced with a huge sense of urgency . Measures to avoid traffic accidents , In addition to improving laws and regulations , strengthen management , improve driver quality through scientific and technological means , the use of automotive electronics products installed on the car to improve road traffic safety has become the consensus of the people . This study covers the lane departure warning system , the system has a good role to avoid traffic accidents caused by driver inattention . After research at home and abroad lane deviate from the trend of the development of early warning systems , domestic lane departure warning system lags far behind foreign and Algorithm majority , less system hardware platform . This study mainly the validation of the entire platform of the system structures and related image processing algorithms on the platform . By comparison , Texas Instruments Da Vinci experiment board as the basis of the system development platform , the basis of this platform to build the framework of the entire system is designed , video capture module , video image processing module , video display module. Design and framework of the system's hardware and software framework , the basis of the hardware platform , the software development environment to build and Leonardo da Vinci system development process are discussed in detail . Build the basis of the system hardware and software platform , the real-time video processing and storage of road test , the smoothing processing and edge detection processing is carried out in the testing process of the image , the more classic algorithm comparative tests on the platform , in order to determine better handling platform filtering algorithm and edge detection algorithm , also verified the platform to meet the system performance requirements . Finally , the the road image real-time storage do in-depth research , hard disk storage module is designed to achieve a real-time road image storage , and laid a solid foundation for further research of the whole subject .

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