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基于机器视觉的直行车道路偏离预警系统设计 被引量:5

Design of Road Departure Warning System Based on Machine Vision
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摘要 为使汽车在没有人为干预的情况下不偏离当前车道行驶,设计了道路偏离预警系统。采用32位处理器MK60DN512VLQ10作为核心,使用摄像头实时采集道路数据传输到控制单元,采用二值化算法处理图像。当检测到模型车偏离正确行驶方向即将驶出边界时,通过语音报警并调整舵机的转向角,使模型车回到正确的方向上。实践证明,该方案能有效地预警模型车道路偏离的情况,并保持模型车继续沿当前道路行驶。 The road departure warning system is designed in order to move without deviation from the current lane without man-made interference. The road departure warning system uses NXP's 32-bit MK60DN512VLQ10 processor as its core to transfer real-time road acquisition data to a control unit using a camera, the binary image processing algorithms is used. When the model car is detected to deviate from the correct driving direction and is about to leave the boundary, an alarm is warned by voice and the steering angle of the steering gear is adjusted to return the model car to the correct direction. The practice proves that the scheme can effectively warn the divergence of the model road and keep the model car continuing along the current road.
机构地区 辽宁工业大学
出处 《汽车工程师》 2018年第2期19-21,52,共4页 Automotive Engineer
基金 辽宁工业大学2017大学生创新创业训练项目(201701031)
关键词 车道偏离 预警 图像处理 机器视觉 Lane departure Early warning Image processing Machine vision
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