Autonomous Multi-Mode Collision Avoidance System Using EO/GPS/MEMS-IMU for UAVs

Award Information
Agency: Department of Defense
Branch: Army
Contract: A982-0203
Agency Tracking Number: A982-0203
Amount: $119,978.00
Phase: Phase I
Program: SBIR
Awards Year: 1999
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
9131 Mason Ave., Chatsworth, CA, 91311
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ching-Fang Lin PhD
 (818) 407-0092
Business Contact
Phone: () -
Research Institution
Not Available The power supply has been the biggest obstacle to inexpensive, functional, autonomous remote sensors. The nature of this obstacle has been the need to store energy on-board, and existing energy storage options are wholly unsatisfactory. Our company has demonstrated microscopic batteries, for use in remote sensors, and other MEMS devices, which can serve to enable remote, autonomous sensor technology. The goal of this program is to create miniature, remote, autonomous sensors. The sensors will include a MEMS sensing element, a signal transmitter, and a microprocessor controller, and an energy conversion device. The entire sensor will occupy approximately 1 cm3, and will operate at <1mW average power. A wide variety of different sensor types are possible with this paradigm. Furthermore, new types of sensors can be developed and made both quickly and inexpensively. Phase I will involve proof-of concept demonstration of one or two such devices, and careful design of integrated, autonomous sensors for remote applications

* information listed above is at the time of submission.

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