SBIR/STTR Research Award
DIGITAL SIGNAL PROCESSOR (DSP)/NEURAL NET-BASED VEHICLE DETECTOR
Award amount
$499,643Program and phase
SBIR · Phase IIAward year
1994Award details
- Awarding agency
- Department of Transportation
- Branch
- Not reported
- Recipient company
- ORINCON
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- CCNUWJRVK5N5
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
ADVANCED COMPUTER-AIDED TECHNIQUES TO DETERMINE VEHICLE CLASS AND SPEED ARE REQUIRED FOR ADVANCED INTELLIGENT VEHICLE HIGHWAY SYSTEM'S APPLICAITONS. ORINCON IS PROPOSING TO DEVELOP A NOVEL SYSTEM ARCHITECTURE USING DIGITAL SIGNAL PROCESSING (DSP) ALGORITHMS IN CONJUNCTION WITH A NEURAL NETWORK CLASSIFIER TO PROCESS DATA FROM EXISTING VEHICLE DETECTION HARDWARE. OUR DESIGN CRITERIA WILLINCLUDE COST, COMPLEXITY, AND SYSTEM PERFORMANCE IN ORDER TO MAXIMIZE THE DEVELOPMENT OF FIELD-DEPLOYABLE HARDWARE.
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.
- Feature-Enhanced Multiple Hypothesis Nonlinear Tracking
- Integrated Multiple-Hypothesis Nonlinear Tracking
- Processing Techniques for Dynamic Sources
- Air Antisubmarine Warfare Environmental Characterization Using Existing Tactical Sensors
- Deployable Active Passive System (DAPS)
Research funding history
176 SBIR/STTR records share this UEI (1987–2003). Reported award amounts total $32,730,414. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Health and Human Services, Department of Energy, Department of Transportation, National Aeronautics and Space Administration, National Science Foundation