no code implementations • 15 Feb 2024 • Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major
We propose practical algorithms for IMU double integration and training of the localization system.
no code implementations • 4 Nov 2022 • Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan
Standard imitation learning can fail when the expert demonstrators have different sensory inputs than the imitating agent.
no code implementations • NeurIPS 2021 • Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli
This work presents a data-driven approach for the indoor localization of an observer on a 2D topological map of the environment.
no code implementations • 31 May 2021 • Ilia Karmanov, Farhad G. Zanjani, Simone Merlin, Ishaque Kadampot, Daniel Dijkman
Our second contribution is two weakly supervised losses that map this latent space into a Cartesian map, resulting in meter-accuracy position results.