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 | 54 | 2014 |
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing K Schlegel, F Mirus, P Neubert, P Protzel | 31 | 2021 |
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 | 13 | 2019 |
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 | 13 | 2018 |
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 | 11 | 2020 |
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 | 9 | 2021 |
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 | 7 | 2020 |
Towards cognitive automotive environment modelling: reasoning based on vector representations F Mirus, TC Stewart, J Conradt European Symposium on Artifical Neural Networks (ESANN), 2018 | 7 | 2018 |
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 | 6 | 2020 |
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 | 5 | 2012 |
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 | 4 | 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 | 4 | 2019 |
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions. F Mirus, P Blouw, TC Stewart, J Conradt ESANN, 2019 | 4 | 2019 |
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 | 3 | 2016 |
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 | 3 | 2012 |
Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture. F Mirus, B Zorn, J Conradt ESANN, 2019 | 2 | 2019 |
Towards a cognitive automotive environment model: a novel approach based on distributed representations and spiking neural networks F Mirus Technische Universität München, 2020 | | 2020 |