Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. - Tim Tiedemann; Thomas Vögele; Mario Michael Krell; Jan Hendrik Metzen; Frank Kirchner (AAAI Workshop: AI for Transportation, 2015)

A new concept for a cooperative fusion platform. - Wendelin Feiten; Susana Alcalde Bagüés; Michael Fiegert; Feihu Zhang; Dhiraj Gulati; Tim Tiedemann (MFI, 2016)

Comparing parallel hardware architectures for visually guided robot navigation. - Wolfram Schenck; Michael Horst; Tim Tiedemann; Sergius Gaulik; Ralf Möller 002 (Concurr. Comput. Pract. Exp., 2017)

Miniature Autonomy as One Important Testing Means in the Development of Machine Learning Methods for Autonomous Driving: How ML-based Autonomous Driving could be Realized on a 1: 87 Scale. - Tim Tiedemann; Jonas Fuhrmann; Sebastian Paulsen; Thorben Schnirpel; Nils Schönherr; Bettina Buth; Stephan Pareigis (ICINCO (2), 2019)

Miniaturautonomie und Echtzeitsysteme. - Stephan Pareigis; Tim Tiedemann; Jonas Fuhrmann; Sebastian Paulsen; Thorben Schnirpel; Nils Schönherr (Echtzeit, 2019)

Künstliche Intelligenz in der Miniaturautonomie. - Stephan Pareigis; Tim Tiedemann; Markus Kasten; Morten Stehr; Thorben Schnirpel; Luk Schwalb; Henri Burau (Echtzeit, 2020)

Concept of a Robotic System for Autonomous Coarse Waste Recycling. - Tim Tiedemann; Matthis Keppner; Tom Runge; Thomas Vögele; Martin Wittmaier; Sebastian Wolff 004 (ICINCO, 2021)

Challenges of Autonomous In-field Fruit Harvesting and Concept of a Robotic Solution. - Tim Tiedemann; Florian Cordes; Matthis Keppner; Heiner Peters (ICINCO, 2022)

Miniature Autonomy as Means to Find New Approaches in Reliable Autonomous Driving AI Method Design. - Tim Tiedemann; Luk Schwalb; Markus Kasten; Robin Grotkasten; Stephan Pareigis (Frontiers Neurorobotics, 2022)

First Results of a Comparison of Machine Learning Hardware Acceleration Approaches Using Field Programmable Gate Arrays in an Agricultural Mobile Robotic Application Case. - Tim Tiedemann; Anja Schmidt; Jesse Stricker; Jonas Fuhrmann (IDC, 2023)

Miniature Autonomous Vehicle Environment for Sim-to-Real Transfer in Reinforcement Learning. - Stephan Pareigis; Daniel Riege; Tim Tiedemann (ICINCO (1), 2024)

Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness. - Timo Häckel; Luca von Roenn; Nemo Juchmann; Alexander Fay; Rinie Akkermans; Tim Tiedemann; Thomas C. Schmidt (CoRR, 2024)

First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods. - Timo Lange; Ajish Babu; Philipp Meyer; Matthis Keppner; Tim Tiedemann; Martin Wittmaier; Sebastian Wolff 004; Thomas Vögele (CoRR, 2025)