2024-01-3755: CROSS CORRELATING GROUND-LEVEL PANORAMAS WITH SATELLITE IMAGERY FOR GPS-DENIED LOCALIZATION OF AUTONOMOUS GROUND VEHICLES - Technical Paper

Features

Event: 2018 Ground Vehicle Systems Engineering and Technology Symposium

Authors

U.S. Tank Army Research Development Engineering Center, Warren, MI

Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI

Abstract

Content: ABSTRACT
In this paper, we explore the usage of normalized cross-correlation to perform localization in GPS-denied environments. Spherical panoramic images from a ground vehicle are transformed to top-down viewpoints and compared with satellite imagery using normalized cross-correlation to find the vehicle’s location within the satellite image. The implementation of this system has yielded positive results when tested upon publicly available panoramic images and satellite imagery, with the identified locations being within an average of 46.95 meters from the ground truth.

Meta Tags

Topics: Artificial intelligence (AI)
Defense industry
Military vehicles and equipment
Navigation and guidance systems
Satellite communications
Autonomous vehicles
Imaging and visualization

Affiliated or Co-Author: U.S. Tank Army Research Development Engineering Center, Warren, MI
Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI

Details

DOI: https://doi.org/10.4271/2024-01-3755

Citation: Cheung, C. and Baek, S., "CROSS CORRELATING GROUND-LEVEL PANORAMAS WITH SATELLITE IMAGERY FOR GPS-DENIED LOCALIZATION OF AUTONOMOUS GROUND VEHICLES," 2018 Ground Vehicle Systems Engineering and Technology Symposium, Novi, Michigan, United States, August 13, 2018, https://doi.org/10.4271/2024-01-3755.

Additional Details

Publisher: National Defense Industrial Association Michigan Chapter

Published: 8/7/2018

Product Code: 2024-01-3755

Content Type: Technical Paper

Language: English