Intelligent Transportation Vehicles
Max Suell Dutra, Omar Lengerke
Bentham Science Publishers, Sep 9, 2011 - Technology & Engineering - 184 pages
Mechatronics Series I: Intelligent Transportation Vehicles brings the latest advances and developments in intelligent vehicles to readers on the basis of their significance and quality. Wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. This Ebook series includes key contributions presented by different researchers. These contributions represent a wide coverage of the state-of-the-art and the emerging research directions in intelligent transportation vehicles.
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A R S S AODV applications approach Arnold equation attributes Automated Guided Vehicles Autonomous behavior chaotic clustering collision Computer control system DATEX deadlock avoidance defined Depot destination node distance dynamic obstacles E-MFG environment map environment model execute fiducials Figure function global graph grid cell IEEE IEEE International Conference implemented IVTs kinematic Lorenz equation Lyapunov Exponent measure Mechatronics method mobile robot motion navigation OFDMA OLSR operation optimized packets parameters Petri nets potential fields problem proposed protocol query R Q S S represents request Research Resource Allocation Graphs Rio de Janeiro robotic forklift Robotics and Automation routing algorithms S S R P S S S S R Q scenario scheduling semantic sensor simulation SPARQL step sub-routes Sujan task techniques traffic information trajectories uncertainty updated values vector vehicle’s velocity vision system voxel WiMAX