• Skip to primary navigation
  • Skip to main content

Aggie Research Programs

Texas A&M University

  • Research Leadership
  • Undergraduates
  • Project List
  • Team Leader Resources
  • Contacts
  • Calendar
  • FAQs
  • Show Search
Hide Search

Spring 2024: Developing Hyperspectral-based Feature Extraction Algorithms for 3D Mapping

Affiliations: STEM Research Leadership
Project Leader: Anthony Medellin
antmedellin@tamu.edu
Mechanical Engineering
Faculty Mentor: Reza Langari, Ph.D.
Meeting Times:
Wed 9-11 AM
Team Size:
8
Open Spots: 0
Special Opportunities:
This project will introduce students to the necessary skills needed to be successful software developers in industry through hands-on experience in developing new machine learning algorithms and back-end development.
Team Needs:
This project involves advanced coding skills. Knowledge of Git, C++, Python, CUDA, Docker, ONNX, CMake, OpenCV, and Linux is preferred, but not required. Our team is looking for individuals who are quick learners, critical thinkers, and able to work in a collaborative environment.
Description:
Hyperspectral cameras have the ability to overcome many of the challenges that are currently being faced by the computer vision community, such as object tracking and 3D mapping. Recent advances in hardware allow the camera to be used for real-time tasks. This project aims to develop novel AI-algorithms that are capable of real-time processing of hyperspectral images, in order to create maps of off-road areas for autonomous vehicles in adverse weather conditions.

Written by:
América Soto-Arzat
Published on:
December 29, 2023

Categories: FullTags: Spring 2024

Footer

Texas A&M University  |  Web Accessibility  |  Site Policies  |  Site Support

© 2021, Website by CVMBS Communications, Texas A&M College of Veterinary Medicine & Biomedical Sciences