APPLICATIONS OF A SHARED DATA WAREHOUSE FOR GROUND VEHICLE AUTONOMY

2024-01-4004

11/15/2024

Features
Event
2022 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium
Authors Abstract
Content
ABSTRACT

Many recent advances in autonomy are derived from algorithm optimization and analysis with a large volume of data. The Autonomous Mobility Through Intelligent Collaboration (AMIC) program established a resource to host and access data to accelerate autonomy capability development across the U.S. Army Robotics and Autonomous Systems enterprise. The repository is seeded with high-quality multi-modal Autonomous Ground Vehicle sensor data collected from relevant operating environments. Development of unmanned air-ground teaming capability that extends the perception and planning horizon of an individual ground vehicle exercises and informs the development of the data warehouse. Collected data was also used to train a convolutional neural network to estimate relative vehicle position from camera images for communication-free formation control.

Citation: M. Boulet, E. Cristofalo, P. DeBitetto, D. Griffith, A. Heier, S. Kassoumeh, A. Plotnik, A. Wu, “Applications of a Shared Data Warehouse for Ground Vehicle Autonomy,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 16-18, 2022.

Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-4004
Pages
13
Citation
Boulet, M., Cristofalo, E., DeBitetto, P., Griffith, D. et al., "APPLICATIONS OF A SHARED DATA WAREHOUSE FOR GROUND VEHICLE AUTONOMY," SAE Technical Paper 2024-01-4004, 2024, https://doi.org/10.4271/2024-01-4004.
Additional Details
Publisher
Published
Nov 15
Product Code
2024-01-4004
Content Type
Technical Paper
Language
English