Intelligent autonomous vehicles : IFAC Workshop, Southampton, UK 18-21 April 1993
- edited by D. Charnley ; sponsored by the International Federation of Automatic Control ... [et al.].
- New York : Pergamon, c1993.
- Physical description
- 530 p. : ill. ; 29 cm.
- Includes bibliographical references.
- Section headings and selected papers: Intelligent Autonomous Vehicle Systems. A test bed for experiments with intelligent vehicles (O. Ravn, N.A. Andersen). Autonomous unmanned aircraft R & D with a high performance flying laboratory (A.B. Markov et al.). Sensors & Sensor Fusion. Manhatten: a fast (CEM) reconstruction method (P. Ballard, L. Lecoeur-Taibi). Machine Perception. Parallel visual tracking (J. Roberts, D. Charnley). Automatic Map Building. Building maps based on a learned classification of ultrasonic range data (A. Kurz). Navigation and Guidance. Knowledge-based vehicle navigation in complex road networks (S. Zhang, B.T. Thomas). Intelligent Guidance and Navigation. Towards using neural network for automatic guidance of mining robots (J.B. Edwards, S. Yaacob). Vehicle Motion Control. Modelling and control of a wheeled mobile robot (G.M. van der Molen). Intelligent Control. Neural networks in autonomous vehicle control (P.K. Sinha et al.). IAV Mission Management. Knowledge processing at higher system levels of an autonomous road vehicle (W. Niegel). IAV Architectures and Design. A real-time distributed problem-solving systems architecture (A.G. McFadzean, D.M. Lane). IAV Design. Modular mobile robot design (T.P. Burke, H.F. Durrant-Whyte). Path Planning. Mobile path planning: a hierarchical approach (C.M. Johnson, J.O. Gray). General Aspects of IAV Systems. Ultrasonics arrays for automatic vehicle guidance (C. Wykes, P. Webb).
- (source: Nielsen Book Data)
There is an increasing range of applications in which a robot has to operate in large unstructured and uncertain environments - including military cross country missions, fire fighting, construction, nuclear plant inspections, inspecting and repairing subsea structures, assembling space stations, as well as in intelligent automobiles. Uncertainty dominates the problem domain for intelligent autonomous vehicles (IAVs) through sensing the environment and vehicle state, interpreting the data, assessing the situation, adapting to changes in the environment or tasking, replanning, navigation and piloting. IFAC, recognising the industrial, technical and economic significance of IAV research, established an International Working Party to promote research and dissemination of results in IAV systems. The IAV-93 Southampton Workshop and these resulting proceedings exemplify the vitality and significant progress made by leading IAV researchers worldwide.
(source: Nielsen Book Data)
- Publication date
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