@conference {LMB01,
	title = {Optimal exploratory paths for a mobile rover},
	booktitle = {Proc. IEEE Int. Conf. on Robotics and Automation},
	year = {2001},
	pages = {2078-2083},
	keywords = {Autonomous Vehicles, Localization and Mapping, Sensors and Observers},
	author = {F. Lorussi and A. Marigo and A. Bicchi}
}
@conference {BPMB98,
	title = {On the observability of mobile vehicles localization},
	booktitle = {Proc. IEEE Mediterranean Conf. On Control And Systems},
	year = {1998},
	abstract = {<p>In this paper, we consider the problem of localizing a mobile vehicle moving in an unstructured environment, based on triangulation measurements derived from processed optical information. The problem is shown to be intrinsically nonlinear, in the sense that the linear approximation of the system has different structural properties than the original model. In particular, linearized approximations are non{\textendash}observable, while results obtained from differential{\textendash}geometric nonlinear system theory prove the possibility of reconstructing the position and orientation of the vehicle and the position of the obstacles in the environment from optical information.</p>},
	keywords = {Autonomous Vehicles, Localization and Mapping, Sensors and Observers},
	author = {A. Bicchi and D Prattichizzo and A. Marigo and A. Balestrino}
}
