Florian Mirus
Florian Mirus
Researcher, BMW Group
Verified email at bmwgroup.com - Homepage
Title
Cited by
Cited by
Year
Vision-based robust road lane detection in urban environments
M Beyeler, F Mirus, A Verl
2014 IEEE International Conference on Robotics and Automation (ICRA), 4920-4925, 2014
402014
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour
F Mirus, C Axenie, TC Stewart, J Conradt
Cognitive Systems Research 50, 52-66, 2018
52018
Detection of moving and stationary objects at high velocities using cost-efficient sensors, curve-fitting and neural networks
F Mirus, J Pfadt, C Connette, B Ewert, D Grüdl, A Verl
Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2012
52012
A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks
F Mirus, F Slomian, S Dörr, FG Lopez, M Gruhler, J Pfadt
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 287-290, 2016
42016
An investigation of vehicle behavior prediction using a vector power representation to encode spatial positions of multiple objects and neural networks
F Mirus, P Blouw, TC Stewart, J Conradt
Frontiers in Neurorobotics 13, 84, 2019
32019
Towards cognitive automotive environment modelling: reasoning based on vector representations
F Mirus, TC Stewart, J Conradt
European Symposium on Artifical Neural Networks (ESANN), 2018
32018
Rapid detection of fast objects in highly dynamic outdoor environments using cost-efficient sensors
C Connette, J Fischer, B Maidel, F Mirus, S Nilsson, K Pfeiffer, A Verl, ...
ROBOTIK 2012; 7th German Conference on Robotics, 1-4, 2012
32012
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.
F Mirus, P Blouw, TC Stewart, J Conradt
ESANN, 2019
22019
Social Navigation with Human Empowerment Driven Deep Reinforcement Learning
T van der Heiden, F Mirus, H van Hoof
International Conference on Artificial Neural Networks, 395-407, 2020
2020
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information
F Mirus, TC Stewart, J Conradt
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
2020
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations
F Mirus, TC Stewart, J Conradt
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
2020
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach
F Mirus, TC Stewart, C Eliasmith, J Conradt
International Conference on Artificial Neural Networks, 456-471, 2019
2019
Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture.
F Mirus, B Zorn, J Conradt
ESANN, 2019
2019
Detection of abnormal driving situations using distributed representations and unsupervised learning
F Mirus, TC Stewart, J Conradt
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Articles 1–14