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Integration and Evaluation of a Close Proximity Obstacle Detection for Mobile Robots in Public Space
Publikationstyp
Journal Article
Date Issued
2022
Sprache
English
Author(s)
Institut
Volume
2022
Issue
11
Citation
Logistics Journal 11: (2022)
Publisher DOI
Scopus ID
T o ensure safe operation of mobile robots in public spaces, the robots must be able to detect obstacles and identify non-traversable ground. However, there are relatively few suitable methods for mobile robots in urban environments available and equally few empirical data on such applications. This contribution identifies requirements for such systems, designs meaningful test scenarios, and evaluates an exemplary approach using a mobile robot platform with depth sensors. It is found that the method is suitable in principle, but that different roadway elements pose a challenge to detection. Corrupted sensor data due to tilting movements or overexposure also negatively affect the quality of obstacle detection.
Subjects
mobile robot
obstacle detection
public space
traversability
urban test scenarios