Michael Weber

FZI Research Center for Information Technology, Universität Ulm

Papers

Total Citations

H-Index

About

Michael Weber is a leading researcher in autonomous systems and human-machine interaction, with a particular focus on intelligent mobility and multimodal fusion. His work bridges the gap between autonomous driving and electric vehicle infrastructure, most notably through his pioneering 2016 paper on autonomous multi-story navigation for valet parking (29 citations), which introduced a transformative system that integrates self-parking with automated charging for electric vehicles—directly addressing urban environmental and traffic challenges. Weber has also made significant contributions to companion systems through his 2013 work on the Transferable Belief Model for multimodal input fusion (20 citations), advancing how machines interpret and combine diverse sensory inputs for more natural human-robot interaction. His research demonstrates a consistent commitment to solving real-world problems at the intersection of robotics, artificial intelligence, and sustainable transportation. With a citation count reflecting the growing relevance of his work, Weber continues to shape the future of autonomous mobility and intelligent systems, making him a key figure for students and researchers interested in practical AI applications and human-centered automation.