Wissenschaftliche Publikationen

Unsere Stereo-Vision-Technologie wurde bereits in zahlreichen Forschungsprojekten eingesetzt. Nachfolgend finden Sie eine Liste der wissenschaftlichen Publikationen unserer Kunden, bei denen unsere Technologie zur Anwendung gekommen ist.

Publikationen mit Bezug auf SceneScan

  • Vrba, M., Heřt, D., & Saska, M. (2019). Onboard Marker-Less Detection and Localization of Non-Cooperating Drones for Their Safe Interception by an Autonomous Aerial System. IEEE Robotics and Automation Letters, 4(4), 3402-3409. IEEE. [Link]
  • Erz, M. (2018). Computer vision based pose detection of agricultural implements without a priori knowledge of their geometry and visual appearance. In 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (pp. 1-6). IEEE. [Link]

Publikationen mit Bezug auf SP1

  • Buck, S., & Zell, A. (2019). CS:: APEX: A Framework for Algorithm Prototyping and Experimentation with Robotic Systems. Journal of Intelligent & Robotic Systems, 94(2), 371-387. [Link]
  • Hanten, R., Kuhlmann, P., Otte, S., & Zell, A. (2018). Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2000-2006). IEEE. [Link]
  • Dubey, G., Madaan, R., & Scherer, S. (2018). DROAN-Disparity-Space Representation for Obstacle Avoidance: Enabling Wire Mapping & Avoidance. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6311-6318). IEEE. [Link] [PDF]
  • Zilly, J., Buhmann, J. M., & Mahapatra, D. (2017). Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. Computerized Medical Imaging and Graphics, 55, 28-41. [Link] [PDF]