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Spring 2023: Investigating Hyperspectral-based Algorithms for use in Off-Road Autonomous Vehicles

Affiliations: DeBakey Executive Research Leadership Program
Project Leader: Anthony Medellin
antmedellin@tamu.edu
Mechanical Engineering
Faculty Mentor: Reza Langari, Ph.D.
Meeting Times:
F 4:00-5:00PM
Team Size:
7
Open Spots: 0
Special Opportunities:
Hands-on experience in software development, co-author publications, and potential exposure to personnel at USARMY GVSC
Team Needs:
US Citizenship is required. Prior coding experience is preferred. Our team is looking for individuals who are critical thinkers, quick learners, and able to work in a collaborative environment
Description:
Hyperspectral cameras are becoming prevalent in various industries for their superior ability to perform material classification, object tracking, and image segmentation. However, there is minimal application of hyperspectral data in algorithms for autonomous vehicles. This project aims to develop hyperspectral-based algorithms to improve the robustness and accuracy of algorithms used in autonomous operations through an analytical approach to problems, rather than through machine learning

 

Written by:
Andrew McNeely
Published on:
December 8, 2022

Categories: FullTags: Spring 2023

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