All Problem Statements

2018 Problem Statements

U.S. ARMY ENGINEER RESEARCH AND DEVELOPMENT CENTER

REMOTE ESTIMATION OF FOREST DENSITY TO AID IN WARFIGHTER MOBILITY SUPPORT

Forest characterization using traditional forestry methods requires intricate and thorough field measurements across numerous plots. The level of detail and resolution acquired simply has not been reproduced using remote techniques.

AF CIVIL ENGINEERING

AUTOMATICALLY IDENTIFY CHANGES TO ELECTRIC POWER LINES, TRANSFORMERS, ETC. TO BETTER PRIORITIZE AND ALLOCATE RESOURCES FOR IN-DEPTH INSPECTIONS

Identify changes in infrastructure (power-lines, etc) using automated aerial, space, and other data analyses to better prioritize and allocate resources for in-depth inspections.

ARMY PSYOP

ON-DEMAND GEOSPATIAL DATA FOR TARGET AUDIENCE ANALYSIS

Our PSYOP soldiers need a tool or suite to enable on-demand query and delivery of open source satellite/other geo sensing data to support Target Audience Analysis (TAA).

AF SPACE

REMOTELY ASSESS INFRASTRUCTURE CONDITIONS FASTER AND SAFER THAN CURRENT PROCESS OF MANNED-INSPECTIONS. (AIR FORCE)

Forest characterization using traditional forestry methods requires intricate and thorough field measurements across numerous plots. The level of detail and resolution acquired simply has not been reproduced using remote techniques.
ARMY

AUTOMATICALLY IDENTIFY TERRAIN AND GROUND OBSTACLES TO ENABLE SAFE LANDING OF ROTORCRAFT IN DEGRADED VISUAL ENVIRONMENTS

The Army needs a capability to automatically identify terrain and ground obstacles at standoff in real time to enable safe landing of rotorcraft in degraded visual environments (DVE).