Abstract
Design solution of a novel mobile robot navigation system, presented here, is used to control robot’s locomotion across slippery surfaces. Usually, motion control strategies, are based on assumption of sufficient traction between tyres and the road. Motion across slippery surfaces can endanger the robot and its surroundings. Our solution combines Light Detection and Ranging (LIDAR) measurements with odometry data. It performs well on any surface, regardless of sensing, localization and navigation errors, within an indoor environment, in real-time. An accelerated feature detection method is used to improve LIDAR localization update rate and improve localization accuracy. Experiments conducted validate proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lingemann, K., NĂ¼chter, A., Hertzberg, J., Surmann, H.: High-speed laser localization for mobile robots. Robot. Auton. Syst. 51, 275–296 (2005)
Uijt de Haag, M., Venable, D., Smearcheck, M.: Integration of an inertial measurement unit and 3D imaging sensor for urban and indoor navigation of unmanned vehicles. In: Proceedings of the Institute of Navigation National Technical Meeting, pp. 829–840 (2007)
Titterton, D.H., Weston, J.L. (ed.): E. Institution of Electrical, A. American Institute of, and Astronautics, Strapdown inertial navigation technology. In: IEE radar, sonar, navigation, and avionics series 17, 2nd edn. United Kingdom, Institution Of Engineering & Technology (IET)
Harrap, R., Lato, M. (ed.): An overview of LIDAR: Collection to application, Norway (2010)
Iqbal, U., Okou, A.F., Noureldin, A.: An integrated reduced inertial sensor system—RISS/GPS for land vehicle. In: Position, Location and Navigation Symposium. IEEE/ION 2008, 1014–1021 (2008)
National_Instruments, http://www.ni.com/myrio/what-is/, 2014
Duda, R.O., Hart, P.E.: Use of the Hough Transformation to Detect Lines and Curves in Pictures. In: C. Sri International Menlo Park Ca Artificial Intelligence, Ed., ed, 1971
Guil, N., Villalba, J., Zapata, E.L.: A fast Hough transform for segment detection. Image Process. IEEE Trans. 4, 1541–1548 (1995)
Ben-Tzvi, D., Sandler, M.B.: A combinatorial Hough transform. Pattern Recogn. Lett. 11, 167–174 (1990)
Koshimizu, H., Numada, M.: On a fast Hough transform method PLHT based on piecewise-linear Hough function. Syst. Comput. Japan 21, 62–73 (1990)
Xu, L., Oja, E., Kultanen, P.: A new curve detection method: randomized Hough transform (RHT). Pattern Recogn. Lett. 11, 331–338 (1990)
Li, H., Lavin, M.A., Le Master, R.J.: Fast Hough transform: a hierarchical approach. Comput. Vision Graph. Image Proc. 36, 139–161 (1986)
Haidekker, M.A.: The Hough transform. Hoboken, NJ, USA, Wiley (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Young, J., Elbanhawi, M., Simic, M. (2015). Developing a Navigation System for Mobile Robots. In: Damiani, E., Howlett, R., Jain, L., Gallo, L., De Pietro, G. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-19830-9_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-19830-9_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19829-3
Online ISBN: 978-3-319-19830-9
eBook Packages: EngineeringEngineering (R0)