Florian Mirus
Florian Mirus
Researcher, Intel Labs
Verified email at intel.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
462014
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
72019
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
72018
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 Grudl, A Verl
Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2012
52012
Towards cognitive automotive environment modelling: reasoning based on vector representations
F Mirus, TC Stewart, J Conradt
European Symposium on Artifical Neural Networks (ESANN), 2018
42018
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
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
32020
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
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
22020
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
12020
Detection of abnormal driving situations using distributed representations and unsupervised learning
F Mirus, TC Stewart, J Conradt
28th European Symposium on Artificial Neural Networks, Computational …, 2020
12020
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing
K Schlegel, F Mirus, P Neubert, P Protzel
2021
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments
M Vemparala, A Singh, A Mzid, N Fasfous, A Frickenstein, F Mirus, ...
IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 2021
2021
Towards a cognitive automotive environment model: a novel approach based on distributed representations and spiking neural networks
F Mirus
Technische Universität München, 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
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Articles 1–17