Maarten Bieshaar

Orcid: 0000-0002-6471-6062

According to our database1, Maarten Bieshaar authored at least 33 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving.
CoRR, 2024

2023
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Practical Evaluation of Active Learning Approaches for Object Detection.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022

Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

NDNET: A Unified Framework for Anomaly and Novelty Detection.
Proceedings of the Architecture of Computing Systems - 35th International Conference, 2022

2021
Cooperative intention detection using machine learning: advanced cyclist protection in the context of automated driving.
PhD thesis, 2021

Cyclist Motion State Forecasting - Going beyond Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Description of Corner Cases in Automated Driving: Goals and Challenges.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Kooperative Absichtserkennung mittels maschineller Lernverfahren.
Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR, 2020

Extended Coopetitive Soft Gating Ensemble.
CoRR, 2020

Knowledge Representations in Technical Systems - A Taxonomy.
CoRR, 2020

Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition.
CoRR, 2020

Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.
IEEE Trans. Intell. Veh., 2018

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence.
CoRR, 2018

Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks.
CoRR, 2018

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.
CoRR, 2018

Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users.
CoRR, 2018

Coopetitive Soft Gating Ensemble.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Starting Movement Detection of Cyclists Using Smart Devices.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cooperative starting intention detection of cyclists based on smart devices and infrastructure.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017


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