Philipp Lottes is a PhD student at the Photogrammetry Lab at the University of Bonn since November 2015. He received his master’s degree at the Institute of Geodesy and Geoinformation in 2015. During his master studies, he was working as an assistant for the Institute of Geodesy and Geoinformation as well as for the Photogrammetry Lab. Before moving to Bonn, he finished his bachelor studies in Surveying Engineering in 2012 at the Bochum University of Applied Sciences and subsequently worked for the Marx Ingenieurgesellschaft mbH as surveying engineer for 1,5 years. He is currently working as research assistant for the EU funded project FLOURISH. In his research, he focuses on approaches based on machine learning such as (un)supervised learning, transfer learning and deep learning as well as probabilistic techniques in order to develop plant classification systems for agricultural ground robots and unmanned aerial robots.
by Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Cyrill Stachniss and Roland Siegwart - June 28, 2017