Progetto e Realizzazione di un Sensore Ibrido Omnidirezionale/pin ...

Bertozzi M., Broggi A. Real Time Lane and Obstacle Detection on the GOLD system.
Proc. IEEE Intelligent Vehicles ’96, pagg. 213-218. Tokyo, Japan. 1996.
Bohrer S., Lutgendorf A., Mempel M. Using inverse perspective mapping as a basis for
two concurrent obstacle avoidance schemes. Artificial Neural Networks, Proceedings of
the 1991 International Conference, ICANN-91, pagg. 1233-1236. Amsterdam,
Netherlands. 1991.
Bohrer S., Zielke T., Freiburg V. An integrated obstacle detection framework for
intelligent cruise control on motorways. Proc. Intelligent Vehicles ’95 Sym, pagg. 276-
281. New York, 1995.
Bonarini A.,Aliverti P.,Lucioni M. An omnidirectional vision system for fast tracking for
mobile robots. IEEE Transactions on Instrumentation and Measurement, 49(3), 509-
512. 2000.
Brady M. Artificial Intelligence and Robotics. Artificial Intelligence and Robotics, vol.
26, pagg. 79-121. 1985.
Brauckmann M.E., Goerick C., Gross J., Zielke T. Towards all around automatic visual
obstacle sensing for cars. Proc. Intelligent Vehicles ’94 Symp, pagg. 79-84.New York,
NY, USA. 1994.
Brooks R. New Approaches to Robotics. Science, vol. 253, pagg. 1227-1232. September
1991.
Christensen H.I., Kirkeby N.O., Kristensen N., Knudsen L., Granum E. Model-driven
vision for indoor navigation. Robotics and Autonomous Systems, vol.12, no.3-4, pagg.
199-207. Aprile 1994.
Clérentin A., Delahoche L., Pegard C., Brassart-Gracsy E. A localization method based
on two omnidirectional perception systems cooperation. Proc. 2000 ICRA. Millennium
Conference. Vol.2, pagg. 1219-1224. 2000.
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