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Bild  Lennart Evers

Lennart Evers

Ehemaliger Mitarbeiter der AG Optimierung und Optimale Steuerung, Research Training Group π3

Raum: NEOS 3140
ORCID iD:  0000-0002-7555-4089


My primary research interest is the computer vision based perception of autonomous vehicles. This includes real time solutions for semantic image segmentation and object detection based on deep convolutional neural networks, as well as their interaction during training. For that, I develop multi objective neural networks solving both tasks simultaneously, investigate convergence behavior depending on the training method used and evaluate the models on a real car in the traffic of Bremen.
Segmentation in urban driving scenariosSegmentation in urban driving scenarios
Object detectionObject detection

Teaching (selection)


2019 M.Sc. Mathematics at University of Bremen
  • Specialized in numerics, artificial intelligence and computer vision.
  • Thesis: Applying deep learning to real time, simultaneous detection and recognition of traffic signs
2017 B.Sc. Mathematics at University of Bremen
  • Thesis: Planung von Einparkmanövern mit Methoden der optimalen Steuerung


  1. OPA³L - Optimal Assistierte, hoch Automatisierte, Autonome und kooperative Fahrzeugnavigation und Lokalisation (01.03.2019 - 14.02.2023)

Publikationen (Auswahl)vollständige Liste

  1. A. Folkers, C. Wellhausen, M. Rick, X. Li, L. Evers, V. Schwarting, J. Clemens, P. Dittmann, M. Shubbak, T. Bustert, G. Zachmann, K. Schill, C. Büskens.
    The OPA3L System and Testconcept for Urban Autonomous Driving.
    25th IEEE International Conference on Intelligent Transportation Systems, 08.10.-12.10.2022.

    DOI: 10.1109/ITSC55140.2022.9922416
    online unter: https://ieeexplore.ieee.org/document/9922416

  2. L. Evers.
    Benchmarking pre-trained Encoders for real-time Semantic Road Scene Segmentation.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2020.

    DOI: 10.1002/pamm.202000275