Sri International

Visteon Global Technolgoies, Inc.

Sarnoff Corporation

Jayan Eledath

Rakesh Kumar

Sang-Hack Jung

Harpreet Singh Sawhney

Feng Han

Keith James Hanna

Supun Samarasekera

Peter Jeffrey Burt

Mayank Bansal

Manoj Aggarwal

Bogdan Calin Mihai Matei

John Benjamin Southall

Jiangjian Xiao

Raia Hadsell

Garbis Salgian

Yi Tan

Faroog Abdel-kareem Ibrahim

Vlad Branzoi

Supun Samarasakera

A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.

Method and apparatus for real-time pedestrian detection for urban driving

The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets.

System and method for object detection from a moving platform

A method for determining whether a target vehicle in front of a host vehicle intends to change lanes using radar data and image data is disclosed, comprising the steps of processing the image data to detect the boundaries of the lane of the host vehicle; estimating a ground plane by determining a projected vanishing point of the detected lane boundaries; using a camera projection matrix to map the target vehicle from the radar data to image coordinates; and determining lane change intentions of the target vehicle based on a moving trajectory and an appearance change of the target vehicle. Determining lane change intentions based on a moving trajectory of the target vehicle is based on vehicle motion trajectory relative to the center of the lane such that the relative distance of the target vehicle from the center of the lane follows a predetermined trend. Determining lane change intentions based on an appearance change of the target vehicle is based on a template that tracks changes to the appearance of the rear part of the target vehicle due to rotation.

Radar guided vision system for vehicle validation and vehicle motion characterization

A method for estimating egomotion of a camera mounted on a vehicle that uses infra-red images is disclosed, comprising the steps of (a) receiving a pair of frames from a plurality of frames from the camera, the first frame being assigned to a previous frame and an anchor frame and the second frame being assigned to a current frame; (b) extracting features from the previous frame and the current frame; (c) finding correspondances between extracted features from the previous frame and the current frame; and (d) estimating the relative pose of the camera by minimizing reprojection errors from the correspondences to the anchor frame. The method can further comprise the steps of (e) assigning the current frame as the anchor frame when a predetermined amount of image motion between the current frame and the anchor frame is observed; (f) assigning the current frame to the previous frame and assigning a new frame from the plurality of frames to the current frame; and (g) repeating steps (b)-(f) until there are no more frames from the plurality of frames to process. Step (c) is based on an estimation of the focus of expansion between the previous frame and the current frame.

Camera egomotion estimation from an infra-red image sequence for night vision

A method and system for detecting moving objects and controlling a surveillance system includes a processing module adapted to receive image information from at least one imaging sensor. The system performs motion detection analysis upon captured images and controls the camera in a specific manner upon detection of a moving object. The image processing uses the camera's physical orientation to a surveillance area to facilitate mapping images captured by the camera to a reference map of the surveillance area. Using the camera orientation, a moving object's position (e.g., latitude, longitude and altitude) within a scene can be derived.

Method and system for performing surveillance

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Princeton, NJ, United States of America

Jayan Eledath