题名: |
Infrared Stereo Calibration for Unmanned Ground Vehicle Navigation. |
作者: |
Harguess, J.; Strange, S. |
关键词: |
Accuracy; Autonomous Navigation; Calibration; Computer Programs; Ground Vehicles; Infrared Cameras; Land Navigation; Methodology; Robots; Sensor Fusion; Unmanned |
摘要: |
The problem of calibrating two color cameras as a stereo pair has been heavily researched and many o -the-shelf software packages, such as Robot Operating System and OpenCV, include calibration routines that work in most cases. However, the problem of calibrating two infrared /201IR/202 cameras for the purposes of sensor fusion and point could generation is relatively new and many challenges exist. We present a comparison of color camera and IR camera stereo calibration using data from an unmanned ground vehicle. There are two main challenges in IR stereo calibration; the calibration board /201material, design, etc./202 and the accuracy of calibration pattern detection. We present our analysis of these challenges along with our IR stereo calibration methodology. Finally we present our results both visually and analytically with computed reprojection errors. |
报告类型: |
科技报告 |