Automotive
Technical Paper

Applications of Unifying Off-Road Datasets Through Ontology

2024-01-4074

08/10/2023

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
Pages
13
Citation
Medellin, A., Bhamri, A., Ma, A., Lanagri, R. et al., "Applications of Unifying Off-Road Datasets Through Ontology," SAE Technical Paper 2024-01-4074, 2023, https://doi.org/10.4271/2024-01-4074.
Additional Details
Publisher
National Defense Industrial Association
Published
Aug 10, 2023
Product Code
2024-01-4074
Content Type
Technical Paper
Language
English