Technical resource
Multi-sensor point clouds for obstacle detection and tracking
The institutional catalogue identifies a 2013 HFR presentation about detecting and tracking obstacles for safe human–robot interaction using multi-sensor point clouds. The title links perception to shared-workspace safety. No abstract was available in the checked record, so algorithms, detection performance and protective-system capability remain unassessed.
Reviewed 2026-11-05 · Source and bibliography checked
- Original title
- Obstacle detection and tracking for safe human-robot interaction based on multi-sensory point clouds
- Publisher
- Fraunhofer-Gesellschaft
- Authors
- Fetzner, Angelika, Frese, Christian, Frey, Christian
- DOI
- 10.24406/publica-fhg-382653
- Publication date
- 2013
- Source language
- en
- Access
- Primary catalogue metadata
- Publication status
- Conference presentation
Source overview
The institutional catalogue identifies a 2013 HFR presentation about detecting and tracking obstacles for safe human–robot interaction using multi-sensor point clouds. The title links perception to shared-workspace safety. No abstract was available in the checked record, so algorithms, detection performance and protective-system capability remain unassessed.
Use and review
Source checking covers catalogue metadata and available public abstract or description. Full-text methods and references were not reviewed, and software was not executed. This summary does not establish conformity or product safety.
Sources & editions
Obstacle detection and tracking for safe human-robot interaction based on multi-sensory point clouds ↗
Fraunhofer-Gesellschaft · Source page checked 2026-11-05
Primary title/creators/date/resource-type catalogue metadata only; substantive abstract absent. Attached manuscript/slides not reviewed.