Assistance systems to perform typical tasks in construction industry and in the municipal sector safe and reliable
Commercial vehicles manufacturers have been researching how to develop new application fields and increase efficiency through automation for some years. Especially in the construction industry and the municipal sector, there is only little innovation potential for mechanical improvements.
The manufacturers assume that a considerable enhancement will only be reached by using intelligent assistance functions. Concepts which increase the safety for people in the machine environment as well as for machine itself serve as basis. An important goal is the increase of the autonomy of the machine in a way, that it is able to detect people in its work room and where people move. The realization often fails because mandatory safety standards could not be reached. Particularly, methods for environment perception, that guarantee a safe and reliable working room in highly-dynamic environments are missing.
Therefore, the goal of the project is to develop an assistance system to increase the operational safety as well as to increase the efficiency of typical work processes.The focus lies on the analysis of different sensor systems and robust methods for environment perception, localization and for the adaptive control of the machine. The biggest challenge is the operational environment which includes environmental influences like dust, rain, changing lighting conditions and noisy signals.
A mobile bucket excavator and an urban test vehicle serve as example applications. For this the project consortium works closely together with the end user Volvo CE Germany, to demonstrate the results in practical applications.
Robot Makers: www.robotmakers.de
Technische Universität Kaiserslautern, Arbeitsgruppe Robotersysteme: agrosy.informatik.uni-kl.de
Volvo CE (Associated Partner): www.volvoce.com