معرفی
Per-Erik Forssén is a Senior Associate Professor in the Department of Electrical Engineering at Linköping University, where he conducts research at the Computer Vision Laboratory (CVL). His academic journey includes a PhD (2004) and Docent degree (2009) from Linköping University, with a postdoctoral fellowship at the University of British Columbia's Laboratory for Computational Intelligence (2006-2007).
His research focuses on visual perception and perceptual learning for robots, with specific expertise in uncertainty representation, vision for action systems, and continuous-time 3D motion modeling. He leads two major projects: Situation Aware Perception for Safe Autonomous Robotic Systems (ELLIIT-funded) and Dorsal Stream Robot Vision (Swedish Research Council-funded).
His publications demonstrate strong focus on robotic vision systems and uncertainty quantification, with recent work exploring deep learning applications for autonomous driving, 3D registration, and human pose estimation. Earlier contributions include foundational work on rolling shutter compensation and video stabilization techniques.
