Automotive
Technical Paper

Applications of Unifying Off-Road Datasets Through Ontology

2024-01-4074

8/10/2023

Features
Event
2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium
Authors
Anthony Medellin Mechanical Engineering Department, Texas A&M University
Anant Bhamri Mechanical Engineering Department, Texas A&M University
Albert Ma Mechanical Engineering Department, Texas A&M University
Reza Lanagri Mechanical Engineering Department, Texas A&M University
Swaminathan Gopalswamy Mechanical Engineering Department, Texas A&M University
David Grabowsky Ground Vehicle Systems Center, U.S. Army
Dariusz Mikulski Ground Vehicle Systems Center, U.S. Army
Abstract
Content
https://github.com/tamu-edu/ORATOR-ATLAS
Meta Tags
Topics
Machine learning
Data acquisition and handling
Artificial intelligence (AI)
Affiliated or Co-Author
Mechanical Engineering Department, Texas A&M University
Ground Vehicle Systems Center, U.S. Army
Details
DOI
https://doi.org/10.4271/2024-01-4074
Citation
Medellin, A., Bhamri, A., Ma, A., Lanagri, R., et al., "Applications of Unifying Off-Road Datasets Through Ontology," 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium, Novi, Michigan, United States, August 13, 2024, https://doi.org/10.4271/2024-01-4074.
Additional Details
Publisher
National Defense Industrial Association Michigan Chapter
Published
8/10/2023
Product Code
2024-01-4074
Content Type
Technical Paper
Language
English