Maarten Bieshaar
Maarten Bieshaar
Vahvistettu sähköpostiosoite verkkotunnuksessa
Detecting intentions of vulnerable road users based on collective intelligence
M Bieshaar, G Reitberger, S Zernetsch, B Sick, E Fuchs, K Doll
arXiv preprint arXiv:1809.03916, 2018
Cooperative starting movement detection of cyclists using convolutional neural networks and a boosted stacking ensemble
M Bieshaar, S Zernetsch, A Hubert, B Sick, K Doll
IEEE Transactions on Intelligent Vehicles 3 (4), 534-544, 2018
Cooperative starting intention detection of cyclists based on smart devices and infrastructure
M Bieshaar, S Zernetsch, M Depping, B Sick, K Doll
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
Multi-Sensor Data and Knowledge Fusion--A Proposal for a Terminology Definition
S Beddar-Wiesing, M Bieshaar
arXiv preprint arXiv:2001.04171, 2020
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks
J Eilbrecht, M Bieshaar, S Zernetsch, K Doll, B Sick, O Stursberg
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
Starting movement detection of cyclists using smart devices
M Bieshaar, M Depping, J Schneegans, B Sick
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
Efficient color-based image segmentation and feature classification for image processing in embedded systems
A Jungmann, B Kleinjohann, L Kleinjohann, M Bieshaar
Proceedings of the 4th International Conference on Resource Intensive …, 2012
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure
G Reitberger, M Bieshaar, S Zernetsch, K Doll, B Sick, E Fuchs
2018 21st International Conference on Intelligent Transportation Systems …, 2018
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
F Heidecker, J Breitenstein, K Rösch, J Löhdefink, M Bieshaar, C Stiller, ...
arXiv preprint arXiv:2103.03678, 2021
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks
F Heidecker, A Hannan, M Bieshaar, B Sick
International Conference on Pattern Recognition, 361-374, 2021
Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets
M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick
arXiv preprint arXiv:2010.05898, 2020
Active Sorting–An Efficient Training of a Sorting Robot with Active Learning Techniques
M Herde, D Kottke, A Calma, M Bieshaar, S Deist, B Sick
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Coopetitive Soft Gating Ensemble
S Deist, M Bieshaar, J Schreiber, A Gensler, B Sick
arXiv preprint arXiv:1807.01020, 2018
Highly automated learning for improved active safety of vulnerable road users
M Bieshaar, G Reitberger, V Kreß, S Zernetsch, K Doll, E Fuchs, B Sick
arXiv preprint arXiv:1803.03479, 2018
Machine learning in organic computing–a brief clarification of terms and concepts
M Bieshaar, A Calma, C Gruhl, S Rudolph, A Stein
Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving
M Bieshaar
kassel university press, 2021
Extended Coopetitive Soft Gating Ensemble
S Deist, J Schreiber, M Bieshaar, B Sick
arXiv preprint arXiv:2004.14026, 2020
Knowledge Representations in Technical Systems--A Taxonomy
K Scharei, F Heidecker, M Bieshaar
arXiv preprint arXiv:2001.04835, 2020
Coopetitive Soft Gating Ensemble
J Schreiber, M Bieshaar, A Gensler, B Sick, S Deist
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
Where is my Device?-Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users
M Bieshaar
arXiv preprint arXiv:1803.02097, 2018
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Artikkelit 1–20