Techniques for the guidance, control, and navigation of unmanned ground vehicles are described in terms of the communication bandwidth requirements for driving and control of a vehicle remote from the human operator. Modes of operation are conveniently classified as conventional teleoperation, supervisory control, and fully autonomous control. The fundamental problem of maintaining a robust non-line-of-sight communications link between the human controller and the remote vehicle is discussed, as this provides the impetus for greater autonomy in the control system and the greatest scope for innovation. While supervisory control still requires the man to be providing the primary navigational intelligence, fully autonomous operation requires that mission navigation is provided solely by on-board machine intelligence. Methods directed at achieving this performance are described using various active and passive sensing of the terrain for route navigation and obstacle detection. Emphasis is given to TV imagery and signal processing techniques for image understanding. Reference is made to the limitations of current microprocessor technology and suitable computer architectures. Some of the more recent control techniques involve the use of neural networks, fuzzy logic, and data fusion and these are discussed in the context of road following and cross country navigation. Examples of autonomous vehicle testbeds operated at various laboratories around the world are given.
Guidance and Control for Unmanned Ground Vehicles
1994
33 pages
Report
No indication
English
Navigation Systems , Computers, Control & Information Theory , Artificial intelligence , Automatic control , Autonomous navigation , Guidance (Motion) , Robot control , Roving vehicles , Surface navigation , Telerobotics , Control systems design , Data links , Fuzzy systems , Image processing , Multisensor fusion , Neural nets , Obstacle avoidance , Trajectory planning , Foreign technology
Guidance of Unmanned Aerial Vehicles
TIBKAT | 2011
|Guidance of unmanned aerial vehicles
TIBKAT | 2011
|Fuzzy Guidance for Unmanned Ground Vehicles: Theory and Experiments AIAA Paper
British Library Conference Proceedings | 2007
|