Automated Testing of Ultrawideband Positioning for Autonomous Driving
Joint Authors
Vedder, Benjamin
Svensson, Bo Joel
Vinter, Jonny
Jonsson, Magnus
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Autonomous vehicles need accurate and dependable positioning, and these systems need to be tested extensively.
We have evaluated positioning based on ultrawideband (UWB) ranging with our self-driving model car using a highly automated approach.
Random drivable trajectories were generated, while the UWB position was compared against the Real-Time Kinematic Satellite Navigation (RTK-SN) positioning system which our model car also is equipped with.
Fault injection was used to study the fault tolerance of the UWB positioning system.
Addressed challenges are automatically generating test cases for real-time hardware, restoring the state between tests, and maintaining safety by preventing collisions.
We were able to automatically generate and carry out hundreds of experiments on the model car in real time and rerun them consistently with and without fault injection enabled.
Thereby, we demonstrate one novel approach to perform automated testing on complex real-time hardware.
American Psychological Association (APA)
Vedder, Benjamin& Svensson, Bo Joel& Vinter, Jonny& Jonsson, Magnus. 2020. Automated Testing of Ultrawideband Positioning for Autonomous Driving. Journal of Robotics،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190285
Modern Language Association (MLA)
Vedder, Benjamin…[et al.]. Automated Testing of Ultrawideband Positioning for Autonomous Driving. Journal of Robotics No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1190285
American Medical Association (AMA)
Vedder, Benjamin& Svensson, Bo Joel& Vinter, Jonny& Jonsson, Magnus. Automated Testing of Ultrawideband Positioning for Autonomous Driving. Journal of Robotics. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190285
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190285