SBIR/STTR Research Award

SBIR Phase II: Resonant Light Detection and Ranging

Award identifier 12ab912ba6e78c889f018a2cedca7a633f745d5b48a5a8b8a4e7d019b220a209Awarding agency National Science Foundation

Award amount

$750,000

Program and phase

SBIR · Phase II

Award year

2017

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
z-senz LLC
Proposal award date
2017-09-15
Contract end date
2019-08-31
UEI
ZDDMMWBDJET6
Solicitation number
Not reported
Topic code
PH

Research abstract

This Small Business Innovation Research (SBIR) Phase II project will develop a resonant light detection and ranging (R-LIDAR) distance sensor based upon use of an optomechanical beam scanning element actuated at resonant frequency. The broader impact of this project is to commercialize distance sensing instrumentation that advances the development of robotic and autonomous systems (RAS) by providing improved performance and order-of-magnitudes reduction in sensor size and cost. The development of RAS technologies could benefit society by increasing the productivity of economic activities in industries that include: mining, oil and gas, transportation, manufacturing, construction, agriculture, forestry, and defense. These industries are commercially significant and accounted for 24% of US GDP in 2015. Upon development, the R-LIDAR system is expected to make a commercial impact in a total addressable market for light detection and ranging (LIDAR) distance sensors that is expected to reach $739 million/year by 2018. Successful development of the R-LIDAR instrument will also pioneer opportunities for resonant scanning instrumentation in related optical applications that include microscopy, endoscopy, light machining, and display. Resonant beam scanners provide robust high-speed and high-performance operation that address size, weight, and power (SWAP) consumption limitations in state of the art light LIDAR distance sensors. The key outcome of the SBIR Phase I project was the successful integration of a resonant optomechanical element into an R-LIDAR distance sensor, demonstrating a 125 X 125 pixel field-of-view acquired at a 20 Hz frame rate. The SBIR Phase II project seeks to advance R-LIDAR instrumentation through (1) development of low-SWAP robust scanning elements, (2) techniques and instrumentation that allow for improved signal to noise ratio and high-rate data acquisition from pulsed time-of-flight LIDAR sensors, and (3) increased ranging capability of low-SWAP R-LIDAR instrumentation. Successful completion of these technical objectives will result in a distance sensing technology that will be particularly useful for high-accuracy surveying and inspection applications conducted using small unmanned aircraft system (S-UAS), where size and payload constraints are acute.

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.

Research funding history

3 SBIR/STTR records share this UEI (2016–2017). Reported award amounts total $1,199,975. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation, Department of Commerce

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.