Florian Mirus

Orcid: 0000-0001-8923-6009

According to our database1, Florian Mirus authored at least 16 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020
Towards a cognitive automotive environment model: a novel approach based on distributed representations and spiking neural networks.
PhD thesis, 2020

Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Social Navigation with Human Empowerment Driven Deep Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Detection of abnormal driving situations using distributed representations and unsupervised learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks.
Frontiers Neurorobotics, 2019

A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour.
Cogn. Syst. Res., 2018

Towards cognitive automotive environment modelling: reasoning based on vector representations.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016
A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2014
Vision-based robust road lane detection in urban environments.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012
Rapid Detection of Fast Objects in Highly Dynamic Outdoor Environments using Cost-Efficient Sensors.
Proceedings of the ROBOTIK 2012, 2012


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