2012Unpublished venueOpen access

Lane Departure Warning System for Vehicle Active Safety Perception Platform

Jia He

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Abstract

The vehicle active safety perception platform is a effective way to prevent vehicle accident.Lane Departure Warning System (LDWS) is one of the most important aspects of this system.In this paper, a set of image processing method which can give results fast and accurately in the non-ideal conditions is proposed.And this is composed of a CMOS camera, an image acquisition and processing module, and an interface module.Several algorithms are tested as the edge detection method according to the experiment comparison, and other several algorithms are tested as the efficient way to detect the lane.At last, experimental facilities installed in the test vehicle validates the performance of this vehicle active safety perception platform.

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What this paper is about

The vehicle active safety perception platform is a effective way to prevent vehicle accident.Lane Departure Warning System (LDWS) is one of the most important aspects of this system.In this paper, a set of image processing method which can give results fast and accurately in the non-ideal conditions is proposed.And this is composed of a CMOS camera, an image acquisition and processing module, and an interface module.Several algorithms are tested as the edge detection method according to the experiment comparison, and other several algorithms are tested as the efficient way to detect the lane.At last, experimental facilities installed in the test vehicle validates the performance of this vehicle active safety perception platform.

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Available abstract

The vehicle active safety perception platform is a effective way to prevent vehicle accident.Lane Departure Warning System (LDWS) is one of the most important aspects of this system.In this paper, a set of image processing method which can give results fast and accurately in the non-ideal conditions is proposed.And this is composed of a CMOS camera, an image acquisition and processing module, and an interface module.Several algorithms are tested as the edge detection method according to the experiment comparison, and other several algorithms are tested as the efficient way to detect the lane.At last, experimental facilities installed in the test vehicle validates the performance of this vehicle active safety perception platform.

Key concepts: Lane departure warning system, Active safety, Computer science, Interface (matter), Warning system, Image processing, Set (abstract data type), Enhanced Data Rates for GSM Evolution

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