Abstract
In this chapter, we consider three of the main problems that arise in the navigation of autonomous vehicles in partially or totally unknown environments, i.e. building a map of the environment, self-localizing, and servoing the robot so as to achieve given goals based on sensorial information. As compared to most part of the existing literature on SLAM, we privilege here a system-theoretic view of the problem, which allows the localization and mapping problems to be cast in a unified framework with the control problem. The chapter is an overview of existing results in this vein, and of some interesting directions for research in the field.
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Bicchi, A., Lorussi, F., Murrieri, P., Scordio, V. On The Problem of Simultaneous Localization, Map Building, and Servoing of Autonomous Vehicles. In: Siciliano, B., Melchiorri, C., De Luca, A., Casalino, G. (eds) Advances in Control of Articulated and Mobile Robots. Springer Tracts in Advanced Robotics, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44410-7_10
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DOI: https://doi.org/10.1007/978-3-540-44410-7_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20783-2
Online ISBN: 978-3-540-44410-7
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