Kai Göbel

Search results

• 2023

  Monocular 3D detection and reID-enhanced tracking

  Sing, A., Beleznai, C. (Speaker) & Göbel, K., 27 Jan 2023, Proceedings of the 14th Conference of the Hungarian Association for Image Analysis and Pattern Recognition.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

• PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects

  Kriegler, A., Beleznai, C., Gelautz, M., Murschitz, M. & Göbel, K., 9 Aug 2023, In: International Journal of Semantic Computing. 17, 3, 24.

  Research output: Contribution to journal › Article › peer-review

  • Synthetic Data 100%
  • Robot 33%
  • Dynamic Environment 33%
  • Annotation 33%
  • Object Category 33%

• RGB-D structural classification of guardrails via learning from synthetic data

  Göbel, K., Beleznai, C. (Speaker), Sing, A., Biber, J. & Stefan, C., 27 Jan 2023, Proceedings of the 14th Conference of the Hungarian Association for Image Analysis and Pattern Recognition.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

• Vision-based mobile analysis of roadside guardrail structures

  Beleznai, C. (Speaker), Göbel, K., Stefan, C., Dorninger, P. & Pusica, A., 12 Mar 2023, Proceedings of the 6th International Conference on Machine Vision and Applications .

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review
• 2022

  Monocular 3D detection and reID-enhanced tracking of multiple traffic-participants

  Sing, A. (Speaker), Beleznai, C. & Göbel, K., 2022, Proceedings of the 14th International Joint Conference on Computational Intelligence 2022. p. 426-434 9 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

  Open Access

• PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives

  Kriegler, A. (Speaker), Beleznai, C., Murschitz, M., Göbel, K. & Gelautz, M., 2022, IEEE Robotic Computing (IRC). p. 1-8 8 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

• PrimitivePose Annotation-Tool: A Tool to Annotate 6DoF Pose of Arbitrary Objects from RGB Images of Uncalibrated Cameras

  Kriegler, A. (Developer), Beleznai, C. (Developer) & Göbel, K. (Developer), May 2022

  Research output: Software › Open Source-Software

• RGB-D structural classification of guardrails via learning from synthetic data

  Göbel, K., Beleznai, C. (Speaker), Sing, A., Biber, J. & Stefan, C., 2022, Proceedings of the 14th International Joint Conference on Computational Intelligence 2022. p. 445-453 9 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

  Open Access

  • Image Segmentation 100%
  • Synthetic Data 100%
  • Mobile Platform 50%
  • Analysis Framework 50%
  • Segmentation Task 50%
• 2021

  Semantic and structural analysis of road-side guardrails from color and stereo depth data

  Göbel, K. (Speaker), Biber, J., Beleznai, C. & Stefan, C., 2021, Proceedings of the Austrian Robotics Workshop 2021. p. 85-86 2 p.

  Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review