Philip Wickberg is an industrial Ph.D. student at Mälardalen University, Sweden. In 2004 he graduated as M.Sc. in Electronics, with a Master thesis in Stereo Vision and as B.Sc. in Electronics in 2002 with a Bachelor thesis in Control.
After graduation, he got employed by HiQ as an IT consultant, and in 2011 by Volvo Construction Equipment as a test engineer. He is now working in projects at Volvo CE’s department for Intelligent Machines. In November 2021 Philip started his Ph.D. studies within the area of fleet management of autonomous machines.
Fleet management of autonomous machines
Based on the research background, the research started by identifying and proposing requirements for construction sites, suggesting the utilization of different map layers in paper A. Paper B then proposed a way of fusing the perceived data to a global dynamic occupancy map, enabling further control and navigation of the autonomous machines.
In the context of software testing/validation, the forthcoming research will prioritize the validation of the dynamic map and its connected functionalities in an autonomous machine setup. Special attention will be given to factors such as the Operational Design Domain (ODD) and safety considerations.
Adopting a Digital Twin Framework for Autonomous Machine Operation at Construction Sites. Authors: Philip Wickberg, Anas Fattouh, Sara Afshar, Markus Bohlin. The 7th CAA International Conference on Vehicular Control and Intelligence
Dynamic Maps Requirements for Autonomous Navigation on Construction Sites. Authors: Philip Wickberg, Anas Fattouh, Sara Afshar, Johan Sjöberg , Markus Bohlin. The 5th International Conference on Communications, Signal Processing, and their Applications
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