Abstract

Abstract Abstract This paper presents a camera-based lane departure warning system implemented on a field programmable gate array (FPGA) device. The system is used as a driver assistance system, which effectively prevents accidents given that it is endowed with the advantages of FPGA technology, including high performance for digital image processing applications, compactness, and low cost. The main contributions of this work are threefold. (1) An improved vanishing point-based steerable filter is introduced and implemented on an FPGA device. Using the vanishing point to guide the orientation at each pixel, this algorithm works well in complex environments. (2) An improved vanishing point-based parallel Hough transform is proposed. Unlike the traditional Hough transform, our improved version moves the coordinate origin to the estimated vanishing point to reduce storage requirements and enhance detection capability. (3) A prototype based on the FPGA is developed. With improvements in the vanishing point-based steerable filter and vanishing point-based parallel Hough transform, the prototype can be used in complex weather and lighting conditions. Experiments conducted on an evaluation platform and on actual roads illustrate the effective performance of the proposed system.

Highlights

  • Automobile accidents injure between 20 to 50 million people and kill at least 1.2 million individuals worldwide each year [1]

  • Such accidents have prompted the development of many driver assistance systems (DASs), such as the onboard lane departure warning systems (LDWSs) and forward collision warning systems

  • 8 Conclusions We present an LDWS based on field programmable gate array (FPGA) technology

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Summary

Introduction

Automobile accidents injure between 20 to 50 million people and kill at least 1.2 million individuals worldwide each year [1] Among these accidents, approximately 60% are due to driver inattentiveness and fatigue. Approximately 60% are due to driver inattentiveness and fatigue Such accidents have prompted the development of many driver assistance systems (DASs), such as the onboard lane departure warning systems (LDWSs) and forward collision warning systems. An effective DAS should satisfy the following requirements: accuracy, reliability, robustness, low cost, compact design, low dissipation, and applicability in real time, etc. A personal computer, for example, is not suitable for the DAS platform because of its high cost and large size

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