Logo Uni Bremen

Center for Industrial Mathematics

About ZeTeM
StaffZeTeM NewsZeTeM ReportsLinksGuest list
Working Groups
AG TechnomathematikAG Numerik PDEAG Optimierung und Optimale SteuerungWG Modelling and Scientific ComputingWG Discrete OptimizationWG Inverse Problems and Imaging
Studying
Presentation of the courseLectures/SeminarsBachelor Industrial MathematicsMaster Industrial Math & Data AnalysisModelling seminarThesesStudying abroadReading Course
Research Training Group π³
Research and Applications
ExpertiseResearch areasProjectsPhD ThesisPublicationsPatents
Opportunities
Cooperation/ProjectsJobsStudent assistants
Services
Information for VisitorsPostal addressTechnical area

ZeTeM > Working Groups > WG Optimization and Optimal Control > Domains > Autonomous Systems

Contact Sitemap Impressum [ English | Deutsch ]

Dr. Shruti Patel Raum: NEOS 3190 E-Mail: shruti.patel@topas.tech Kontakt: Dr. Shruti Patel
E-Mail: o2c-autonomous-systems@uni-bremen.de

Autonomous Systems

Projects

Current

Logo Projekt MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applicationsMUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications
The aim of the project is to automate recurring journeys in known and geographically limited areas and, in particular, to develop transferable algorithms for autonomous driving. To this end, the cooperation partners are researching and developing new solutions with cloud connection, which are to be tested experimentally in multiple test areas.

Time period: 01.01.2022 - 31.12.2024
Leadership: Prof. Dr. Christof Büskens, Dr. Margareta Runge


Logo Projekt NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop productionNeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production
The Kalverkamp company, with the support of the Working Group for Optimization and Optimal Control of the Center for Technomathematics and the Osnabrück University of Applied Sciences, is developing the novel, electrically driven, multifunctional agricultural vehicle NeXaT for autonomous agriculture and the elimination of ecological and economic weak points of today's tractor combinations.

Time period: 01.09.2020 - 31.12.2024
Leadership: Prof. Dr. Christof Büskens, Maria Höffmann, Dr. Andreas Folkers, Dr. Shruti Patel


Completed

Logo Projekt OPA³L - Optimally Assisted, Highly Automated, Autonomous and Cooperative Vehicle Navigation and LocalizationOPA³L - Optimally Assisted, Highly Automated, Autonomous and Cooperative Vehicle Navigation and Localization
The goal of the project is to automate recurring drives in known areas and in particular to present solutions for cooperative maneuvers in such areas. For this the partners are working on the implementation in an application-oriented test field.

Time period: 01.03.2019 - 14.02.2023
Leadership: Prof. Dr. Christof Büskens, Dr. Arne Berger, Dr.-Ing. Mitja Echim, Matthias Rick, Dr. Andreas Folkers


Logo Projekt AO-Car – Autonome, optimale Fahrzeugnavigation und -steuerung im Fahrzeug-Fahrgast-Nahbereich für den städtischen BereichAO-Car – Autonome, optimale Fahrzeugnavigation und -steuerung im Fahrzeug-Fahrgast-Nahbereich für den städtischen Bereich
The aim of the AO-Car research project is to develop autonomous and safe driving maneuvers for (electric) cars in urban traffic. Different maneuvers, which are particularly relevant in the passenger-specific assistance area, are to be modeled and implemented and tested on a real vehicle in the best possible way.

Time period: 01.09.2016 - 31.03.2018
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim


Press Releases

Publications

  1. A. Folkers, M. Rick, C. Büskens.
    Time-Dependent Hybrid-State A⁎ and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environments.
    21th IFAC World Congress, 11.07.-17.07.2020, Berlin, Germany.
    Proceedings of the 21th IFAC World Congress, 53(2):15077-15083, 2020.

    DOI: 10.1016/j.ifacol.2020.12.2029
    online at: https://www.sciencedirect.com/science/article/pii/S2405896320326653

  2. A. Folkers.
    Steuerung eines autonomen Fahrzeugs durch Deep Reinforcement Learning.
    BestMasters, 75 pages, Springer Verlag, 2019.

    DOI: 10.1007/978-3-658-28886-0

  3. M. Rick, J. Clemens, L. Sommer, A. Folkers, K. Schill, C. Büskens.
    Autonomous Driving Based on Nonlinear Model Predictive Control and Multi-Sensor Fusion.
    10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2019), 03.07.-05.07.2019.

    DOI: 10.1016/j.ifacol.2019.08.068

  4. A. Folkers, M. Rick, C. Büskens.
    Controlling an Autonomous Vehicle with Deep Reinforcement Learning.
    Intelligent Vehicles Symposium, 09.06.-12.06.2019, Paris, France.
    Proceedings of the 30th IEEE Intelligent Vehicles Symposium, pp. 2025-2031, 2019.

    Best Student Paper

    DOI: 10.1109/ivs.2019.8814124

  5. L. Sommer, M. Rick, A. Folkers, C. Büskens.
    AO-Car: Transfer of Space Technology to Autonomous Driving with the use of WORHP.
    7th International Conference on Astrodynamics Tools and Techniques, 2018.