Contour reconstruction using recursive smoothing splines - experimental validation

• Published in: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 2071 - 2076
• Main Authors: Piccolo, G., Karasalo, M., Kragic, D., Hu, X.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2007
• Subjects: Applied mathematics; Control systems; Cost function; Filtering; Iterative algorithms; MATEMATIK; MATHEMATICS; Optimeringslära, systemteori; Optimization, systems theory; Performance evaluation; Power lasers; Robots; Robustness; Smoothing methods; Tillämpad matematik; Working environment noise
• ISBN: 9781424409112; 142440911X
• ISSN: 2153-0858
• DOI: 10.1109/IROS.2007.4399044

In this paper, a recursive smoothing spline approach for contour reconstruction is studied and evaluated. Periodic smoothing splines are used by a robot to approximate the contour of encountered obstacles in the environment. The splines are generated through minimizing a cost function subject to constraints imposed by a linear control system and accuracy is improved iteratively using a recursive spline algorithm. The filtering effect of the smoothing splines allows for usage of noisy sensor data and the method is robust to odometry drift. Experimental evaluation is performed for contour reconstruction of three objects using a SICK laser scanner mounted on a PowerBot from ActivMedia Robotics.