SBIR/STTR Research Award
Near Real-Time LIDAR Processing and Exploitation Algorithm Development
Award amount
$149,998Program and phase
SBIR · Phase IAward year
2018Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- RINCON RESEARCH CORPORATION
- Proposal award date
- 2018-01-26
- Contract end date
- 2019-04-08
- UEI
- FQT4ZAGJXKW3
- Solicitation number
- 17.3
- Topic code
- A17-143
Research abstract
Today’s advanced LiDAR systems typically lack the ability to autonomously detect man-made shapes and structures and provide that 3-D data to Geospatial Intelligence quickly and effectively to aid in tactical decisions. Rincon Research Corporation (RRC) presents its solution to this problem through the design and development of algorithms that perform onboard Automated Feature Extraction (AFE) and/or aided target recognition (AiTR) on Light Detection and Ranging (LIDAR) data. This approach leverages our extensive, proven techniques in AFE technology and focuses on feature extraction algorithms that are designed to run in near real time, provide significant data reduction, and transmit objects of interest over a limited data link to the analyst in near real time.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- A Prototype for Geosynchronous Satellite Surveillance using Passive RF Collection
- Low SWaP Tactical Ultra-Secure Communications System
- CisLunar Phase II
- Near Real-time LIDAR Processing and Exploitation Algorithms
- 24/7 Monitoring of Active Satellites using Passive Radio-Frequency (RF) Sensors
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
15 SBIR/STTR records share this UEI (1992–2023). Reported award amounts total $5,149,543. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense