Rover mast calibration, exact camera pointing, and camera handoff for visual target tracking

Won S. Kim, Adnan Ansar, Robert D. Steele
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引用次数: 20

Abstract

This paper presents three technical elements that we have developed to improve the accuracy of the visual target tracking for single-sol approach-and-instrument placement in future Mars rover missions. An accurate, straightforward method of rover mast calibration is achieved by using a total station, a camera calibration target, and four prism targets mounted on the rover. The method was applied to Rocky8 rover mast calibration and yielded a 1.1-pixel rms residual error. Camera pointing requires inverse kinematic solutions for mast pan and tilt angles such that the target image appears right at the center of the camera image. Two issues were raised. Mast camera frames are in general not parallel to the masthead base frame. Further, the optical axis of the camera model in general does not pass through the center of the image. Despite these issues, we managed to derive non-iterative closed-form exact solutions, which were verified with Matlab routines. Actual camera pointing experiments over 50 random target image points yielded less than 1.3-pixel rms pointing error. Finally, a purely geometric method for camera handoff using stereo views of the target has been developed. Experimental test runs show less than 2.5 pixels error on high-resolution Navcam for Pancam-to-Navcam handoff, and less than 4 pixels error on lower-resolution Hazcam for Navcam-to-Hazcam handoff
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漫游者桅杆校准,精确的相机指向,相机切换,用于视觉目标跟踪
本文介绍了在未来的火星探测器任务中,我们为提高单sol接近和仪器放置的视觉目标跟踪精度而开发的三个技术要素。利用安装在漫游车上的全站仪、相机标定目标和四个棱镜目标,实现了一种精确、直接的漫游车桅杆标定方法。将该方法应用于Rocky8探测车桅杆标定,残差均方根为1.1像素。相机指向需要桅杆盘和倾斜角度的逆运动学解,以便目标图像出现在相机图像的正中心。提出了两个问题。桅杆相机框架一般不平行于桅杆基座框架。此外,相机模型的光轴一般不穿过图像的中心。尽管存在这些问题,我们还是设法推导出非迭代的闭形式精确解,并用Matlab例程进行了验证。50多个随机目标图像点的实际相机指向实验得出的rms指向误差小于1.3像素。最后,提出了一种利用目标立体视图进行相机切换的纯几何方法。实验测试表明,高分辨率Navcam在pancam到Navcam切换时误差小于2.5像素,低分辨率Hazcam在Navcam到Hazcam切换时误差小于4像素
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