Ford Global Technolgoies, LLC

Nicholas Zorka

Manoharprasad K Rao

Kwaku O Prakah-Asante

Samuel Edward Ebenstein

Gregory Hugh Smith

Yelena Mordechai Rodin

Ka C Cheok

Edzko Smid

An object detection system is disclosed in at least one embodiment. The system includes a far IR sensor operable to sense thermal radiation of objects and surroundings in a field of view and to generate a far IR image in response thereto, and an image processing device operable to receive and process the far IR image to detect the presence of one or more objects in the field of view. The image processing device can be configured to process the far IR image by generating an initial threshold image based on the far IR image and an initial threshold value, iteratively obtaining a number of successive threshold images based on the far IR image and a number of successively increased threshold values, and determining the presence of one or more objects in the field of view based on the threshold images and threshold values.

Method and system for detecting objects using far infrared images

A collision and injury mitigation system () for an automotive vehicle () is provided. The system () includes two or more object detection sensors () that detect an object and generate one or more object detection signals. A controller () is electrically coupled to the two or more object detection sensors and performs a fuzzy logic technique to classify the object as a real object or a false object in response to the one or more object detection signals. A method for performing the same is also provided.

Collision and injury mitigation system using fuzzy cluster tracking

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Clarkston, MI, United States of America

Nicholas Zorka