Professur für Lokalisierungssysteme

Multi-Step Training for Predicting Roundabout Traffic Situations (2021) Sackmann M, Leemann T, Bey H, Hofmann U, Thielecke J Conference contribution, Conference Contribution Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios (2021) Konstantinidis F, Sackmann M, De Candido O, Hofmann U, Thielecke J, Utschick W Conference contribution, Conference Contribution Umfelderkennung, Absicherung und lokale Bahnplanung - Teilprojekt 2 (2021) Blank A, Hiller M, Heuss L, Roder S, Thielecke J, Franke J Book chapter / Article in edited volumes Abschlussbericht: FORobotics - mobile ad-hoc kooperierende Roboterteams, Aktenzeichen AZ-1225-16, Förderzeitraum 1.1.2017-30.6.2020, Berichtszeitraum: 1.1.2017-30.6.2020 (2021) Berger J, Colceriu C, Blank A, Franke J, Härdtlein C, Hellig T, Henrich D, et al. Other publication type, Abschlussbericht POMDP Planning at Roundabouts (2021) Bey H, Sackmann M, Lange A, Thielecke J Conference contribution Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training (2020) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution Thinking small: next-generation sensor networks close the size gap in vertebrate biologging (2020) Ripperger S, Carter G, Page R, Duda N, Kölpin A, Weigel R, Hartmann M, et al. Journal article, Original article Determining Potential Obstacles in Unobservable Areas Based on Current and Past Perception (2020) Baumgärtner J, Bey H, Faßbender D, Thielecke J Conference contribution, Conference Contribution Classification of driver intentions at roundabouts (2020) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution Tutorial on sampling-based POMDP-planning for automated driving (2020) Bey H, Tratz M, Sackmann M, Lange A, Thielecke J Conference contribution