Titlebook: Intelligent Unmanned Ground Vehicles; Autonomous Navigatio Martial H. Hebert,Charles Thorpe,Anthony Stentz Book 1997 Springer Science+Busin

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Neural Network Vision for Robot Driving,with real world scenes. Autonomous navigation systems based on traditional image processing and pattern recognition techniques often perform well under certain conditions, but have problems with others. Part of the difficulty stems from the fact that the processing performed by these systems remains

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Sonar-Based Outdoor Vehicle Navigation,escribe the use of sonars as an alternative to conventional light-based sensors. Sonars have the advantage that they do not get confused by transparent or black surfaces. On the other hand, the wavelength of ultrasound is much larger than the wavelength of light, i.e., usually around 4 mm as compare

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Optimal and Efficient Path Planning for Partially Known Environments,d in the previous chapters. For real unmanned missions, longer-range path planning is required. In particular, the system needs to automatically plan a path from the vehicle’s current position to its goal position. The situation is complicated by the fact that, using only partial information about t

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