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Fast Mobile Robot Guidance

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Part of the book series: NATO ASI Series ((NATO ASI F,volume 63))

Abstract

Prior knowledge of the environment constitutes an important help in planning trajectories and avoiding collisions. But sometimes modifications of the workroom due to appearance of possible obstacles are the main drawbacks for getting a high speed of navigation.

The use of multiple sensors provides complementary information that can help to avoid collision.

In order to assure the maintenance of adequate speed of the mobile without producing excessive speed reductions it is nessary to interpret the information acquired from the sensors and focus on the more interesting characteristics of the scene.

The goal of this work is not to develop a navigation system but develop image processors which help us to get the most adequate information needed to carry on the guidance of these mobiles with a response time as low as possible.

The system presented has the function of facilitating the task of fusion of the information obtained from TV cameras and ultrasonic sensors. The facilities provided by the system are oriented to reducing the processing time so that the mobile robot navigation speed is not reduced.

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References

  1. Amat, J., Casais A: Visual inspection system with qualitative analysis capabilities. NATO ASI Series F, vol.52, Springer-Verlag, Berlin-Heidelberg-New York, 1989

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  2. Amat, J., Llario, V: A vision system with 3D capabilities. IEEE Int. Conference on Robotics and Automation. March 1985, St. Louis, USA

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  3. Bird Bhanu and Durga Panda: Qualitative reasoning and modeling for robust target tracking and recognition from a mobile platform. Image Understanding Workshop, 1988. Honeywell System & Research Center

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  4. Blackboard Workshop Carnegie-Mellon University June 1986

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Bibliography

  • - Goto, Y., Stentz, A.: Mobile robot navigation: the CMU system. IEEE Expert (1987)

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  • - Thorpe, C. et al.: Vision and navigation for Carnegie-Mellon NAVLAB. IEEE Transaction on Pattern Analysis and Machine Intelligence, May 1988

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  • - Poggio, T. et al.: The MIT vision machine. Image Understanding Workshop, 1988 Honeywell System & Research Center

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© 1990 Springer-Verlag Berlin Heidelberg

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Martínez, A.B., Larré, A. (1990). Fast Mobile Robot Guidance. In: Henderson, T.C. (eds) Traditional and Non-Traditional Robotic Sensors. NATO ASI Series, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75984-0_26

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  • DOI: https://doi.org/10.1007/978-3-642-75984-0_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-75986-4

  • Online ISBN: 978-3-642-75984-0

  • eBook Packages: Springer Book Archive

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