Resilient Ground Vehicle Autonomous Navigation in GPS-denied Environments

Author(s)Baxevani, Kleio
Author(s)Yadav, Indrajeet
Author(s)Yang, Yulin
Author(s)Sebok, Michael
Author(s)Tanner, Herbert G.
Author(s)Huang, Guoquan
Date Accessioned2023-02-01T14:54:09Z
Date Available2023-02-01T14:54:09Z
Publication Date2022-11-23
DescriptionBaxevani, Kleio, Indrajeet Yadav, Yulin Yang, Michael Sebok, Herbert G. Tanner, and Guoquan Huang. “Resilient Ground Vehicle Autonomous Navigation in GPS-Denied Environments.” Guidance, Navigation and Control, November 23, 2022, 2250020. https://doi.org/10.1142/S2737480722500200. © Technical Committee on Guidance, Navigation and Control, CSAA and World Scientific Publishing Co. https://www.worldscientific.com/worldscinet/gnc. This article will be embargoed until 11/23/2023.
AbstractCo-design and integration of vehicle navigation and control and state estimation is key for enabling field deployment of mobile robots in GPS-denied cluttered environments, and sensor calibration is critical for successful operation of both subsystems. This paper demonstrates the potential of this co-design approach with field tests of the integration of a reactive receding horizon-based motion planner and controller with an inertial aided multi-sensor calibration scheme. The reported method provides accurate calibration parameters that improve the performance of the state estimator, and enable the motion controller to generate smooth and continuous minimal-jerk trajectories based on local LiDAR data. Numerical simulations in Unity, and real-world experimental results from the field corroborate the claims of efficacy for the reported autonomous navigation computational pipeline.
SponsorThis work was supported by U.S. Army Combat Capabilities Development Command - Army Research Lab via award # W911NF-20-2-0098. Thanks to Dr. Kun Fu for the 3D printing of the sensor support, and to Wenxuan (Owen) Li for involvement in the Jackal experiments.
CitationBaxevani, Kleio, Indrajeet Yadav, Yulin Yang, Michael Sebok, Herbert G. Tanner, and Guoquan Huang. “Resilient Ground Vehicle Autonomous Navigation in GPS-Denied Environments.” Guidance, Navigation and Control, November 23, 2022, 2250020. https://doi.org/10.1142/S2737480722500200.
ISSN2737-4920
URLhttps://udspace.udel.edu/handle/19716/32186
Languageen_US
PublisherGuidance, Navigation and Control
Keywordsfield robots
Keywordscalibration and identification
Keywordsmotion and path planning
TitleResilient Ground Vehicle Autonomous Navigation in GPS-denied Environments
TypeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Resilient Ground Vehicle Autonomous Navigation in GPS-denied Environments.pdf
Size:
3.33 MB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.22 KB
Format:
Item-specific license agreed upon to submission
Description: