The U.S. Army seeks novel, robust algorithms to determine whether vehicles pose a threat using inexpensive terrestrial ground sensors for surveillance and reconnaissance of the battlefield.
With advancements in signal processing and autonomy, Army modernization efforts need to advance the terrestrial sensing layer to serve as a complementary, persistent observation channel to the aerial and space layers.
This challenge focuses on developing the core capabilities of acoustic and seismic sensing for target discrimination techniques.
“Develop core (acoustic and seismic) multi-modal sensing algorithms and sensor fusion that reveal common and unique attributes for target classification of ground vehicles.”
The Good Vibrations challenge is seeking novel techniques to extract acoustic and seismic features that are unique to various categories and classes of ground vehicles using real-time, power-efficient algorithms.
The goal is to extract features technically relevant to target classification. Data signatures from resource-constrained acoustic and seismic sensing modalities will be provided as Government Furnished Information (GFI) to the semi-finalist applicants to extract target features and determine target geometry, kinematics, and category / class.
A scoring mechanism will be used to assess the viability and performance of the proposed and delivered algorithms based on criteria defined herein.
Submissions to this Challenge must be received by 06:59 am EET Jan 4, 2024,
Source: Challenge.gov