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

Period of Performance: 12/15/1998 - 06/15/1999

$120K

Phase 1 SBIR

Recipient Firm

American GNC Corp.
888 Easy Street
Simi Valley, CA 93065
Principal Investigator

Research Topics

Abstract

This Phase I project develops an innovative Autonomous Multi-Mode Collision Avoidance System for Unmanned Aerial Vehicles (UAVs) operating as teams with manned airborne Systems in the same general airspace. The proposed approach uses a passive mode and a Low Probability of Intercept mode for measuring the range of the object for the collision avoidance system. An integrated Global Positioning System (GPS) receiver MEMS-IMU(Micro-Electronic-Mechanical-System, Inertial Measurement Unit) navigation system is used to provide the UAV position. The passive mode for measuring the range to the object employs passive Electro-Optic image sensor such as a TV camera and an infrared sensor and corresponding algorithms. The innovative Low Probability of Intercept relative positioning technology using a GPS carrier is developed to achieve a Low Probability of Intercept collision avoidance system. An Intelligent Collision Avoidance Agent is responsible for collision detection, prediction and decision making, avoidance abort trajectory generation, and a command output for a reconfigurable UAV flight control system. BENEFITS: This project will lead to a passive/low probability of intercept collision avoidance and Airspace Deconfliction system, which has several commercial applications including Air Traffic Management (ATM), smart vehicles, intelligent transportation systems, and passive target tracking.