Physical Sciences Inc. (PSI) has been awarded a program from the U.S. Army to develop a suite of artificial intelligence algorithms designed to discriminate airborne chemical/biological warfare agent plumes from battlefield clutter in standoff LIDAR data.
PSI’s AI-assisted LIDAR clutter mitigation (ALCM) system will track all plume-type objects within the LIDAR field of regard, and employ a two-stage classification algorithm to quantify the probabilistic threat level of each plume. The ALCM confidence refinement will be achieved through characterization of plume properties such as airborne mass and dissipation rate by performing temporal analysis of subsequent LIDAR scans with DisperseNET, PSI’s real-time dispersion modeling algorithm. The ALCM system is designed to quantify threat/non-threat confidences for each plume-like object, provide these outputs to the user in real-time, and achieve a greater than 90% threat classification probability.
The proposed technology will identify chemical/biological warfare agents in standoff LIDAR data and aligns with the Army’s NBCRV program, and may be applied for industrial autonomy and monitoring applications. Furthermore, the ALCM system would be applicable in automated CWA/BWA surveillance installations for base/force protection. The addition of LIDAR sensors to the DisperseNET software framework would also allow this capability to benefit the DARPA ChemSIGMA system for threat evaluation at large public outdoor gatherings, providing additional benefits to law enforcement officers.
For more information, contact:
Dr. Bogdan Cosofret
Vice President, Detection Systems
Physical Sciences Inc.
Telephone: (978) 689-0003