Detecting spatio-temporal Relations by Combining a Semantic Map with a Stream Processing Engine-Reference-Cited by-同舟云学术

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Detecting spatio-temporal Relations by Combining a Semantic Map with a Stream Processing Engine

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Niecksch Lennart¹,Deeken Henning²,Wiemann Thomas¹

Affiliation:

1. DFKI Niedersachsen, Plan-based Robot Control Group,German Research Center for Artificial Intelligence (DFKI),Osnabrück,Germany

2. Institute of Computer Science, Osnabrück University,Knowledge Based Systems and Autonomous Robotics groups,Osnabrück,Germany

Funder

Federal Ministry of Education and Research of Germany (BMBF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160656.pdf?arnumber=10160656

Reference37 articles.

1. Co-fusion: Real-time segmentation, tracking and fusion of multiple objects

2. Microsoft COCO: common objects in context;lin;CoRR,2014

3. Eao-slam: Monocular semi-dense object slam based on ensemble data association;wu;2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2020

4. Scaled-YOLOv4: Scaling Cross Stage Partial Network

5. Grounding semantic maps in spatial databases

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