Browsing by Author "Gulrez Tauseef"

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Browsing by Author "Gulrez Tauseef"

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  • Mission-Planning of Autonomous Mobile Robot in Cluttered Environment 
    Al-Hmouz Rami; Gulrez Tauseef; Al-Jumaily Adel (Ahmad Faris Ismail, 2005)
    This paper proposes a realistic navigation method of the autonomous mobile robot in dynamical environment where multiple obstacles are always changing their velocities. Considering characteristics of actual sensor system, ...
  • Modelling a Holonic Network System using Cellular Automata for Detecting Traffic Congestion 
    Chaczko Zenon; Gulrez Tauseef; Al-Hmouz Rami; Braun Robin (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
    In this paper, we present a method that uses Cellular Automata (CA) based approach, while communicating in dynamic multi-agent systems (DMS). Proposed method helps in achieving early detection of traffic congestion; ...
  • Opportunistic Information Fusion: A New Paradigm for Next Generation Networked Sensing Systems 
    Challa Subhash; Gulrez Tauseef; Chaczko Zenon; Tumkur Pranesh (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    Traditionally, Information Fusion systems assume that the information is gathered from known sensors over proprietary communication networks and fuse using fixed rules of information fusion and designated computing and ...
  • Probabilistic Road Maps with Obstacle Avoidance in Cluttered Dynamic Environment 
    Al-Hmouz Rami; Al-Jumaily Adel; Gulrez Tauseef (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
    This paper presents an experimental study of a Probabilistic Road Map (PRM) based obstacle avoiding algorithm, for motion planning of a non-holonomic mobile robot in cluttered dynamic environment. The PRM approach uses ...
  • Unmanned autonomous vehicle control & SLAM problem in 2-D environment 
    Gulrez Tauseef; Al-Hmouz Rami; Chaczko Zenon (IEEE, 2004)
    This paper proposes a method of selecting (autonomously) the artificial landmarks by Laser measurement, to establish the 2D obstacle map. Due to the error in the motion and measurement of the robot, the observed landmarks ...