视觉传感器标定；
A four points calibration method was developed to eliminate the problem of spatial synchronization of lidar and computer vision systems in the sensor fusion system of intelligent vehicles.
为解决应用雷达与机器视觉的智能车信息融合系统的空间同步问题，提出了对两种传感器进行空间同步的四点标定方法。
To address this problem, a method basing on the invariance of double cross ratio is proposed for calibrating structured-light-stripe vision sensor, and the calibration target is designed.
针对这个问题，提出了一种基于双重交比不变的线结构光视觉传感器的标定方法，设计了相应的标定靶标。
The thesis also introduces a special calibration method for vision sensor system in respect that we find the usual calibration ways can not be used in this system.
由于承载鞍形貌复杂、被测面较多且集中分布，采用一般的标定方式标定十分困难，所以专门研究了用于承载鞍视觉检测的传感器系统标定方法。
Based on the invariance of cross-ratio and the collinear property of all points for one dimensional target, a global calibration method of multi-vision sensor system is proposed.
基于交比不变性原理和一维靶标点共线的特点，提出了一种多视觉传感器全局校准方法。
It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
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