基于计算机视觉技术的智能车辆辅助导航协同定位研究

Shun Zhang
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引用次数: 0

摘要

由于采集车辆位置信息的精度较低,定位阶段的误差相对较大。因此,提出了基于计算机视觉技术的智能车辆辅助导航协同定位。以计算机视觉设备--智能相机 VOF/VOF-S 作为具体的数据采集设备,结合车辆的具体运行状态,对数据采集阶段的具体参数进行不同的设置,从而实现车辆位置信息的精确采集。在定位阶段,以车轮所在平面为道路平面,综合 VOF/VOF-S 计算机视觉技术装置中多个道路地面点采集的数据信息坐标参数,实现车辆位置信息在真实空间中的变换。测试结果表明,不同行驶条件下车辆位置的定位误差始终稳定在 1.50m 以内,具有较高的精度。
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Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology
Due to the low accuracy of collecting vehicle position information, the error in the positioning stage is relatively large. Therefore, the collaborative positioning of intelligent vehicle aided navigation based on computer vision technology is proposed. Taking the computer vision equipment-smart cameras VOF/VOF-S as a specific data acquisition device, and combining with the specific running state of the vehicle, the specific parameters in the data acquisition stage are set differently, so as to realize the accurate acquisition of vehicle position information. In the positioning stage, the plane where the wheel is located is taken as the road plane, and the coordinate parameters of data information collected by several road ground points in VOF/VOF-S computer vision technology device are integrated to realize the transformation of vehicle position information in real space. In the test results, the positioning error of vehicle position under different driving conditions is always stable within 1.50m, which has high accuracy.
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