Rapid Detection of Fast Objects in Highly Dynamic Outdoor Environments using Cost-Efficient Sensors. - Christian Pascal Connette; Jan Fischer; Benjamin Maidel; Florian Mirus; Sofie Nilsson; Kai Pfeiffer; Alexander Verl; Axel Durbec; Björn Ewert; Tobias Haar; Dietmar Grüdl (ROBOTIK, 2012)

Vision-based robust road lane detection in urban environments. - Michael Beyeler; Florian Mirus; Alexander Verl (ICRA, 2014)

A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks. - Florian Mirus; Frank Slomian; Stefan Dörr; Felipe Garcia Lopez; Matthias Gruhler; Jürgen Pfadt (SAC, 2016)

Towards cognitive automotive environment modelling: reasoning based on vector representations. - Florian Mirus; Terrence C. Stewart; Jörg Conradt (ESANN, 2018)

Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. - Florian Mirus; Cristian Axenie; Terrence C. Stewart; Jörg Conradt (Cogn. Syst. Res., 2018)

Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions. - Florian Mirus; Peter Blouw; Terrence C. Stewart; Jörg Conradt (ESANN, 2019)

Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture. - Florian Mirus; Benjamin Zorn 002; Jörg Conradt (ESANN, 2019)

A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. - Florian Mirus; Terrence C. Stewart; Chris Eliasmith; Jörg Conradt (ICANN (3), 2019)

An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks. - Florian Mirus; Peter Blouw; Terrence C. Stewart; Jörg Conradt (Frontiers Neurorobotics, 2019)

Detection of abnormal driving situations using distributed representations and unsupervised learning. - Florian Mirus; Terrence C. Stewart; Jörg Conradt (ESANN, 2020)

Social Navigation with Human Empowerment Driven Deep Reinforcement Learning. - Tessa van der Heiden; Florian Mirus; Herke van Hoof (ICANN (2), 2020)

The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. - Florian Mirus; Terrence C. Stewart; Jörg Conradt (IJCNN, 2020)

Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. - Florian Mirus; Terrence C. Stewart; Jörg Conradt (IJCNN, 2020)

Towards a cognitive automotive environment model: a novel approach based on distributed representations and spiking neural networks. - Florian Mirus (2020)

Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. - Kenny Schlegel; Florian Mirus; Peer Neubert; Peter Protzel (IV, 2021)

Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. - Manoj Rohit Vemparala; Anmol Singh; Ahmed Mzid; Nael Fasfous; Alexander Frickenstein; Florian Mirus; Hans-Jörg Vögel; Naveen Shankar Nagaraja; Walter Stechele (IV Workshops, 2021)

Conquering the Robotic Software Development Cycle at Scale: Using KubeROS from Simulation to Real-world Deployment. - Yongzhou Zhang; Frederik Pasch; Florian Mirus; Kay-Ulrich Scholl; Christian Wurll; Björn Hein (CASE, 2024)

Towards fault-tolerant deployment of mobile robot navigation in the edge: an experimental study. - Florian Mirus; Frederik Pasch; Kay-Ulrich Scholl (ICRA, 2024)

A Comprehensive Modeling and Scheduling Approach for Allocating Distributed Multi-Robot Software to the Edge/Cloud. - Yongzhou Zhang; Florian Mirus; Frederik Pasch; Kay-Ulrich Scholl; Christian Wurll; Björn Hein (IROS, 2024)

Scenario Execution for Robotics: A generic, backend-agnostic library for running reproducible robotics experiments and tests. - Frederik Pasch; Florian Mirus; Yongzhou Zhang; Kay-Ulrich Scholl (CoRR, 2024)

A generic approach for reactive stateful mitigation of application failures in distributed robotics systems deployed with Kubernetes. - Florian Mirus; Frederik Pasch; Nikhil Singhal; Kay-Ulrich Scholl (CoRR, 2024)