Foto von Long Wen

Long Wen

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Courses

Sommersemester 2023

pulications

2023

  • Lin, Jianjie; Rickert, Markus; Wen, Long; Hu, Yingbai; Knoll, Alois: Robust Point Cloud Registration with Geometry-based Transformation Invariant Descriptor. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 mehr… BibTeX Volltext (mediaTUM)
  • Lin, Jianjie; Rickert, Markus; Wen, Long; Pan, Fengjunjie; Knoll, Alois: Knowledge-Augmented Anomaly Detection in Small Lot Production for Semantic Temporal Process Data. Proceedings of the IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Wen, Long; Rickert, Markus; Pan, Fengjunjie; Lin, Jianjie; Knoll, Alois: Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)