Author:
Takeishi Naoya, ,Yairi Takehisa
Abstract
In the exploration of a small celestial body, it is important to estimate the position and attitude of the spacecraft, as well as the geometric properties of the target celestial body. In this paper, we propose a method to concurrently estimate these quantities in a highly automatic manner when measurements from an attitude sensor, inertial sensors, and a monocular camera are given. The proposed method is based on the incremental optimization technique, which works with models for sensor fusion, and a tailored initialization scheme developed to compensate for the absence of range sensors. Moreover, we discuss the challenges in developing a fully automatic navigation framework.**This paper is an extended version of a preliminary conference report [1].
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference32 articles.
1. N. Takeishi and T. Yairi, “Dynamic visual simultaneous localization and mapping for asteroid exploration,” Proc. of the 13th Int. Symposium on Artificial Intelligence, Robotics and Automation in Space, 2016.
2. S. Thrun et al., “Probabilistic Robotics,” The MIT Press, 2005.
3. C. Stachniss et al., “Simultaneous localization and mapping,” Handbook of Robotics, 2nd edition, pp. 1153-1176, Springer, 2016.
4. A. Sujiwo et al., “Monocular vision-based localization using ORB-SLAM with LIDAR-aided mapping in real-world robot challenge,” J. of Robotics and Mechatronics, Vol.28, No.4, pp. 479-490, 2016.
5. M. Yokozuka and O. Matsumoto, “Accurate localization for making maps to mobile robots using odometry and GPS without scan-matching,” J. of Robotics and Mechatronics, Vol.27, No.4, pp. 410-418, 2015.
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