You are here

Terrain Strength Estimation Using Remote Sensing for Route Planning and Real Time Autonomous Mobility

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-22-C-0020
Agency Tracking Number: A21C-T021-0347
Amount: $172,785.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A21C-T021
Solicitation Number: 21.C
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-06-29
Award End Date (Contract End Date): 2022-12-26
Small Business Information
5080 Sherman Drive
Berthoud, CO 80513-9649
United States
DUNS: 080819693
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Craig Wheeler
 (707) 547-7407
Business Contact
 Lafe Redd
Phone: (530) 446-0006
Research Institution
 Colorado State University
 Joseph Scalia
1372 Campus Delivery
Fort Collins, CO 80523
United States

 (406) 781-1237
 Nonprofit College or University

Terrain strength data are critical inputs to autonomous maneuverability and off-road mobility platforms. Soil strength is a complex variable that varies in both space and time and is a function of the soil composition, density, structure, and moisture content. Because of the interplay of these factors, estimation of terrain strength using remote sensing is unlikely to be successful if it relies on a single measured input (e.g., solely infrared). We propose that to capture the unique strength of a soil at a given location and time, multiple lines of sensing (visible, shortwave infrared, longwave infrared, hyperspectral and cosmic ray) that characterize different aspects of the soil system must be simultaneously measured, assimilated, and transformed to provide the inputs to autonomous maneuverability and off-road mobility platforms. Sensor outputs combined with artificial intelligence methods (pattern recognition) will help to correlate remote sensing data with manual confirmatory measurements leading to predicted values for key terrain strength parameters used in well-established mobility models.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government