Thorbjørn Mosekjær Iversen

20152019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Thorbjørn Mosekjær Iversen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Sensors Engineering & Materials Science
Computer vision Engineering & Materials Science
Cameras Engineering & Materials Science
Availability Engineering & Materials Science
Robotics Engineering & Materials Science
Probability distributions Engineering & Materials Science
Uncertainty Engineering & Materials Science
Phase shift Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2019

  • 4 Article in proceedings
  • 1 Report
  • 1 Ph.D. thesis
  • 1 Journal article

Automated Configuration of Vision Sensor Systems for Industrial Robotics

Iversen, T. M., 11. Feb 2019, (Submitted)

Research output: Book/anthology/thesis/reportPh.D. thesisResearch

Optimizing sensor placement: A mixture model framework using stable poses and sparsely precomputed pose uncertainty predictions

Iversen, T. M. & Kraft, D., 27. Dec 2018, Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 6652-6659

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Sensors
Probability distributions
Computer vision
Robotics
Computer simulation

Simulation-based optimization of camera placement in the context of industrial pose estimation

Jørgensen, T. B., Iversen, T. M., Lindvig, A. P., Schlette, C., Kraft, D., Savarimuthu, T. R., Roßmann, J. & Krüger, N., Jan 2018, Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Imai, F., Tremeau, A. & Braz, J. (eds.). SCITEPRESS Digital Library, Vol. 5. p. 524-533

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Cameras
Phase shift
Robots

Generation of synthetic Kinect depth images based on empirical noise model

Iversen, T. M. & Kraft, D., 2017, In : Electronics Letters. 53, 13, p. 856-858

Research output: Contribution to journalJournal articleResearchpeer-review

Computer vision
Availability
Sensors

Prediction of ICP Pose Uncertainties Using Monte Carlo Simulation with Synthetic Depth Images

Iversen, T. M., Buch, A. G. & Kraft, D., 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 4640-4647

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Sensors
Robotics
Monte Carlo simulation
Uncertainty