Aurora Flight Sciences Corporation

Igor Janjic

Jae-Woo Choi

Andrew Mark Heafitz

Douglas Famularo

Franklin Wu

A digital video computing system receives two or more frames depicting an environment from a camera system of a vehicle. For a salient image feature identified in the two or more frames, a global motion vector is calculated that is indicative of movement of the feature at least partially attributable to movement of the vehicle. A local motion vector is calculated that is indicative of movement of the feature independent from the movement of the vehicle. Based on the local motion vector, the salient image feature is determined to have an apparent motion relative to the environment that is independent from the movement of the vehicle. A candidate image patch is identified including the salient image feature. The candidate image patch is analyzed to output a likelihood that the candidate image patch depicts a second vehicle.

Digital video computing system for vehicle

An example of the present disclosure provides a stereo camera assembly of an object tracking system. The stereo camera assembly comprises a wide-angle lens camera mounted on a mounting structure and a telephoto lens camera mounted on the mounting structure such that a field of view of the telephoto lens camera is at least partially encompassed by a field of view of the wide-angle lens camera.

Object tracking system including stereo camera assembly and methods of use

An object-tracking system is disclosed. The tracking system is designed for environments where global positioning system (GPS), radio frequency (RF), and/or cellular communication signals are unavailable. The system is configured to use camera-captured images of the surrounding environment in conjunction with inertial measurements to perform visual and/or traditional odometry. An object detection algorithm and/or tracking scheme may be used to detect objects within the captured images, to help determine a user position relative to the objects. The detector architecture may be configured to allow for target (and/or object) agnostic camera detection and/or tracking that is easily configurable and/or reconfigurable depending on for the type of object to be detected and/or tracked.

Object-tracking system

A method, apparatus, system for tracking an object, the method. A region of interest in an image pair is determined based on a bounding box determined for the object in the image pair. A mask based on the region of interest is applied to the image pair. The mask masks out portions of the image pair outside of the region of interest to form masked images. Intensity averaging is performed on the masked images to detect a set of pixels having a greatest intensity in the masked images. The set of pixels in the masked images is a set of common pixels in the masked images in which the set of common pixels is assumed to have a same location in both of the masked images. A three-dimensional position of the object is determined using the set of common pixels.

Growing community of inventors

Malden, MA, United States of America

Igor Janjic