MUTIG-VORAN – Algorithmen und Testfelder für das autonome Fahren der Zukunft

Our project develops new approaches for automated driving in clearly defined areas and on recurring routes. The goal is to create algorithms that are not only powerful but also transferable to different environments. Together with our partners, we research and test cloud-connected methods that are practically validated in multiple test areas.

At the core are modern AI techniques such as trajectory optimization, deep learning, model predictive control, and sensor fusion. In addition, we investigate how mobile communication via 5G and satellites, V2X technologies, prediction algorithms, and remote-control concepts can make road traffic safer and more efficient.

Shuttle Bus aus dem Safety Control Center Projekt

PXL 20250618 113011848


Press releases:

City of Bremen

Universtity of Bremen

SAT1 Regional

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Publikations:

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2025
[7] Continuous Integration and Delivery of ROS2 projects (, , ), In Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), IEEE, . [bibtex]
[6] Efficient Object Detection Using Quasi-2D LiDAR Data for Autonomous Vehicles (, , , ), In International Conference on Information Fusion (FUSION), IEEE, . [bibtex]
2022
[5] The OPA3L System and Testconcept for Urban Autonomous Driving (, , , , , , , , , , , , ), In 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), IEEE, . [bibtex] [abstract] [pdf] [doi]
2021
[4] Efficient Grid Map Data Structures for Autonomous Driving in Large-Scale Environments (, , ), In 24th IEEE International Conference on Intelligent Transportation (ITSC), IEEE, . [bibtex] [abstract] [pdf] [doi]
2020
[3] Kalman Filter with Moving Reference for Jump-Free, Multi-Sensor Odometry with Application in Autonomous Driving (, , , , ), In 23rd International Conference on Information Fusion (FUSION), IEEE, . [bibtex] [abstract] [pdf] [doi]
[2] Realizing a Demonstrator for the Autonomous Exploration of a Parking Lot (, , , , , , , , , , , ), In 1st Virtual IFAC World Congress 2020 (IFAC-V), . (extended abstract) [bibtex] [abstract]
2019
[1] Autonomous Driving Based on Nonlinear Model Predictive Control and Multi-Sensor Fusion (, , , , ), In 10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV2019), . [bibtex] [abstract] [pdf] [doi]

 

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