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Project

#494 Landslides: Tech transfer and commercialization advice


Principal Investigator
Christoph Mertz
Status
Active
Start Date
July 1, 2024
End Date
June 30, 2025
Project Type
Research Applied
Grant Program
US DOT BIL, Safety21, 2023 - 2028 (4811)
Grant Cycle
Safety21 : 24-25
Visibility
Public

Abstract

This sub-project is to support the main project "Improve highway safety by reducing the risks of landslides" with Zhuping Sheng from Morgan State University as PI. The support will consist of:

1. transfer the PI's knowledge of landslide detection and analysis in images to the main group
The PI has researched landslides in the past, especially by developing computer vision tools to analyze images of actual or potential landslides. Depending on the need of the main group, the PI will advice which tools are useful and teach individual members on how to use them. 

2. Explore deployment and commercialization possibilities
The PI has experience in deploying research results, from running systems on robots or buses, open-sourcing code and data sets to starting a company (RoadBotics, recently acquired by Michelin). The PI will help the main group to explore deployment commercialization possibilities. One possibility to explore is to partner with Michelin (PI is part time employee of Michelin).

3. Explore follow-on research or development at CMU depending on results and needs 
The findings of the main project might necessitate a larger effort to refine existing or develop new computer vision tools. The PI can organize and supervise student projects of various sizes, e.g. RISS summer students or MSCV capstone projects. 

     
Description

    
Timeline

    
Strategic Description / RD&T
Please see the RD&T plan of the main project "Improve highway safety by reducing the risks of landslides"
This sub-project will help with the commercialization effort. 
Deployment Plan
Please see the deployment plan of the main project "Improve highway safety by reducing the risks of landslides"
This project will advice the main project in their deployment efforts. 
Expected Outcomes/Impacts
Please see the anticipated outcomes/impact of the main project "Improve highway safety by reducing the risks of landslides"
This sub-project will help to deploy computer vision tools for landslide detection and analysis and thereby make roads safer. 
Expected Outputs
Please see anticipated outputs of the main project "Improve highway safety by reducing the risks of landslides"
This sub-project will help the main team to use compute vision tools.
TRID
Please see the TRID of the main project "Improve highway safety by reducing the risks of landslides"

Individuals Involved

Email Name Affiliation Role Position
cmertz@andrew.cmu.edu Mertz, Christoph Carnegie Mellon University PI Faculty - Research/Systems

Budget

Amount of UTC Funds Awarded
$12847.00
Total Project Budget (from all funding sources)
$12847.00

Documents

Type Name Uploaded
Data Management Plan DMP_Landslides-_Tech_Transfer_and_Commercialization_Advice.pdf April 1, 2024, 2:51 p.m.

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