Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 177-182, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/177/2014/
doi:10.5194/isprsarchives-XL-3-177-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
ESA ExoMars: Pre-launch PanCam Geometric Modeling and Accuracy Assessment
D. Li1, R Li2, and A. Yilmaz1 1Photogrammetric Computer Vision Laboratory, The Ohio State University, USA
2Dept. of Civil, Environ. and Geodetic Eng., The Ohio State University, USA
Keywords: Error Propagation, Mapping, Localization, Robotics, Triangulation, Photogrammetry Abstract. ExoMars is the flagship mission of the European Space Agency (ESA) Aurora Programme. The mobile scientific platform, or rover, will carry a drill and a suite of instruments dedicated to exobiology and geochemistry research. As the ExoMars rover is designed to travel kilometres over the Martian surface, high-precision rover localization and topographic mapping will be critical for traverse path planning and safe planetary surface operations. For such purposes, the ExoMars rover Panoramic Camera system (PanCam) will acquire images that are processed into an imagery network providing vision information for photogrammetric algorithms to localize the rover and generate 3-D mapping products. Since the design of the ExoMars PanCam will influence localization and mapping accuracy, quantitative error analysis of the PanCam design will improve scientists’ awareness of the achievable level of accuracy, and enable the PanCam design team to optimize its design to achieve the highest possible level of localization and mapping accuracy. Based on photogrammetric principles and uncertainty propagation theory, we have developed a method to theoretically analyze how mapping and localization accuracy would be affected by various factors, such as length of stereo hard-baseline, focal length, and pixel size, etc.
Conference paper (PDF, 935 KB)


Citation: Li, D., Li, R., and Yilmaz, A.: ESA ExoMars: Pre-launch PanCam Geometric Modeling and Accuracy Assessment, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 177-182, doi:10.5194/isprsarchives-XL-3-177-2014, 2014.

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