Mechatronics and Intelligent Systems for Off-road Vehicles

Mechatronics and Intelligent Systems for Off-road Vehicles

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Rapid developments in electronics over the past two decades have induced a move from purely mechanical vehicles to mechatronics design. Recent advances in computing, sensors, and information technology are pushing mobile equipment design to incorporate higher levels of automation under the novel concept of intelligent vehicles. Mechatronics and Intelligent Systems for Off-road Vehicles introduces this concept, and provides an overview of recent applications and future approaches within this field. Several case studies present real examples of vehicles designed to navigate in off-road environments typically encountered by agriculture, forestry, and construction machines. The examples analyzed describe and illustrate key features for agricultural robotics, such as automatic steering, safeguarding, mapping, and precision agriculture applications. The eight chapters include numerous figures, each designed to improve the readera€™s comprehension of subjects such as: a€c automatic steering systems; a€c navigation systems; a€c vehicle architecture; a€c image processing and vision; and a€c three-dimensional perception and localization. Mechatronics and Intelligent Systems for Off-road Vehicles will be of great interest to professional engineers and researchers in vehicle automation, robotics, and the application of artificial intelligence to mobile equipment; as well as to graduate students of mechanical, electrical, and agricultural engineering.The power generation subsystem consists of the prime mover, say a diesel engine, and the hydraulic pump, and its ... For example, an agricultural tractor and a hydraulic excavator are quite different in both appearance and structure because the tractor is mostly designed to pull and ... Apart from the basic components mentioned above, on-vehicle hydraulic systems also need a filter in the return line.

Title:Mechatronics and Intelligent Systems for Off-road Vehicles
Author: Francisco Rovira Más, Qin Zhang, Alan C. Hansen
Publisher:Springer Science & Business Media - 2010-11-30

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