A Spatio-Temporal-Semantic Environment Representation for Autonomous Mobile Robots equipped with various Sensor Systems-Reference-Cited by-同舟云学术

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A Spatio-Temporal-Semantic Environment Representation for Autonomous Mobile Robots equipped with various Sensor Systems

Published:2022-09-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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Author:

Niemeyer Mark¹,Putz Sebastian¹,Hertzberg Joachim¹

Affiliation:

1. German Research Center for Artificial Intelligence,Plan-Based Robot Control Group,Osnabrück,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9913805/9913839/09913873.pdf?arnumber=9913873

Reference29 articles.

1. Navigation Control & Path Planning for Autonomous Mobile Robots;pütz;PhD-thesis,2022

2. Survey and Comparison of Open Source Time Series Databases;bader,2017

3. Prometheus - Monitoring system & time series database,0

4. InfluxDB: Open Source Time Series Database,0

5. KNOWROB — knowledge processing for autonomous personal robots

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1. Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Spatio-temporal semantic data management systems for IoT in agriculture 5.0: Challenges and future directions;Internet of Things;2024-04

3. Methods and means of conflict-free data exchange in the group of mobile robotic platforms;Ukrainian Journal of Information Technology;2024

4. Scalable Evaluation Pipeline of CNN-Based Perception for Robotic Sensor Data Under Different Environment Conditions;2023 European Conference on Mobile Robots (ECMR);2023-09-04

5. Object Anchoring for Autonomous Robots Using the Spatio-Temporal-Semantic Environment Representation SEEREP;KI 2023: Advances in Artificial Intelligence;2023

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