| Summary: | Mobile machinery in forestry, mining and construction, need the ability to detect obstacles in their surroundings. By detecting and then avoid these obstacles, safety will be increased both for the operator of the machine and for the people in the risk area. Also, it allows groups of autonomous vehicles to interact with each other in an unpredictable environment. An increased level of automation also means more efficient production, reduces vehicle wear and reduced fuel consumption. Atlas Copco Rock Drills, Komatsu Forest and Volvo CE, together with Örebro University, Luleå University of Technology, SP Technical Research Institute, Robotdalen and Association Heavy Vehicles, cooperates in this project to evaluate the sensors with the goal of creating the machine ability Obstacle detection. A single sensor alone is not expected to fulfil the safety requirements. Research is needed to develop sensor systems - combination of two or more sensor technologies.
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