Pascal Faßmeyer

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Pascal Faßmeyer

  1. 2022
  2. Erschienen

    Watch out, pothole! Featuring Road Damage Detection in an End-to-end System for Autonomous Driving

    Kortmann, F., Faßmeyer, P., Funk, B. & Drews, P., 01.11.2022, in: Data and Knowledge Engineering. 142, 102091.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  3. Erschienen

    Semi-Supervised Generative Models for Multi-Agent Trajectories

    Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (Hrsg.). Red Hook: Curran Associates, Band 48. S. 37267-37281 15 S. (Advances in Neural Information Processing Systems; Band 35).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  4. 2021
  5. Erschienen

    Towards a Camera-Based Road Damage Assessment and Detection for Autonomous Vehicles: Applying Scaled-YOLO and CVAE-WGAN

    Faßmeyer, P., Kortmann, F., Drews, P. & Funk, B., 01.09.2021, 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings: Proceedings, Virtual Conference, 27 - 30 September 2021. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 7 S. (IEEE Vehicular Technology Conference; Band 94).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet