视觉传感器标定；
提出一种基于任意位姿平面靶标的立体视觉传感器标定新方法。
A novel calibration method to determine all the primitive parameters of the stereo visual sensor with free-position planar pattern is proposed.
提出一种基于任意位姿平面靶标的立体视觉传感器标定新方法。
A calibration method of vision sensors based on a planar gridding target was presented.
提出一种实现通用摄像机标定和现场高精度立体视觉传感器标定的新方法。
A novel high-precision calibration method for universal camera calibration and on-field stereo visual sensor calibration is proposed.
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。
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.
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.
提出了一种基于平面网格靶标的视觉传感器的标定方法。
A calibration method of vision sensors based on a planar gridding target was presented.
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。
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.
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。
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.
研究了摄像机非共面标定方法，完成单目立体视觉传感器的标定实验；
Studying the non-coplanar camera calibration method and completing the calibration experiment.
建立了激光视觉传感器的数学模型，提出了一种分离参数对传感器结构参数进行标定的方法。
The mathematic model of the laser 3-d visual sensor is established. A separated-parameter method is proposed to calibrate the structure parameter.
在立体视觉传感器三维测量模型基础上，引入特征点约束优化传感器结构参数，同时实现了传感器现场标定。
And based on the 3-d measurement model of stereo-visual sensor, the parameters of sensor can be optimized with the feature points constraint simultaneously.
在立体视觉传感器三维测量模型基础上，引入特征点约束优化传感器结构参数，同时实现了传感器现场标定。
And based on the 3-d measurement model of stereo-visual sensor, the parameters of sensor can be optimized with the feature points constraint simultaneously.
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