2020Unpublished venueRequires access

Vehicle Auxiliary Driving System Based on Image Processing

Peng Li, Wentao Cheng, Ying Ding, Rong Wu, Zhengping Liu, Jinqing Zhan

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Abstract

Traffic signs are road facilities that use words or symbols to guide, restrict, warn or indicate information. Traffic signs are characterized by safety, striking setting, clear and bright. Setting traffic signs is an important measure to implement traffic management and ensure road traffic safety and smoothness. Drivers can know the road condition in front of them through traffic signs, so as to make adjustments. However, drivers often neglect traffic signs and misjudge traffic signs information because of their tired spirit, spiritual fluctuation, answering mobile phones during driving and bad weather, which will lead to serious traffic safety accidents. The purpose of the driver assistance system based on image recognition is to alert drivers through voice broadcasting and interface to avoid serious traffic accidents caused by ignoring traffic signs. After the driver opens the system, the system captures the road scene in front of him through the camera, and detects every frame of the image to determine whether there are traffic signs and what the content of the traffic signs are, and then alerts the driver through voice and image.

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What this paper is about

Traffic signs are road facilities that use words or symbols to guide, restrict, warn or indicate information. Traffic signs are characterized by safety, striking setting, clear and bright. Setting traffic signs is an important measure to implement traffic management and ensure road traffic safety and smoothness. Drivers can know the road condition in front of them through traffic signs, so as to make adjustments. However, drivers often neglect traffic signs and misjudge traffic signs information because of their tired spirit, spiritual fluctuation, answering mobile phones during driving and bad weather, which will lead to serious traffic safety accidents. The purpose of the driver assistance system based on image recognition is to alert drivers through voice broadcasting and interface to avoid serious traffic accidents caused by ignoring traffic signs. After the driver opens the system, the system captures the road scene in front of him through the camera, and detects every frame of the image to determine whether there are traffic signs and what the content of the traffic signs are, and then alerts the driver through voice and image.

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Available abstract

Traffic signs are road facilities that use words or symbols to guide, restrict, warn or indicate information. Traffic signs are characterized by safety, striking setting, clear and bright. Setting traffic signs is an important measure to implement traffic management and ensure road traffic safety and smoothness. Drivers can know the road condition in front of them through traffic signs, so as to make adjustments. However, drivers often neglect traffic signs and misjudge traffic signs information because of their tired spirit, spiritual fluctuation, answering mobile phones during driving and bad weather, which will lead to serious traffic safety accidents. The purpose of the driver assistance system based on image recognition is to alert drivers through voice broadcasting and interface to avoid serious traffic accidents caused by ignoring traffic signs. After the driver opens the system, the system captures the road scene in front of him through the camera, and detects every frame of the image to determine whether there are traffic signs and what the content of the traffic signs are, and then alerts the driver through voice and image.

Key concepts: Computer science, Traffic conflict, Road traffic, Traffic bottleneck, Traffic sign, Transport engineering, Floating car data, Computer security

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