Raia T Hadsell from Portland, OR, age 52

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Yann LeCun, Sumit Chopra, Raia Hadsell, Ranzato Marc'Aurelio and Fu-Jie Huang: A Tutorial on Energy-Based Learning, in Bakir, G. and Hofman, ...

Audio Based Robot Control And Navigation
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US Patent:

20110077813, Mar 31, 2011
Filed:

Sep 28, 2010
Appl. No.:

12/892048
Inventors:

Raia Hadsell - Princeton Junction NJ, US
Supun Samarasekera - Princeton NJ, US
Ajay Divakaran - Monmouth Junction NJ, US
International Classification:

G05D 1/00
US Classification:

701 26, 701 28
Abstract:

A computer implemented method for unattended detection of a current terrain to be traversed by a mobile device is disclosed. Visual input of the current terrain is received for a plurality of positions. Audio input corresponding to the current terrain is received for the plurality of positions. The video input is fused with the audio input using a classifier. The type of the current terrain is classified with the classifier. The classifier may also be employed to predict the type of terrain proximal to the current terrain. The classifier is constructed using an expectation-maximization (EM) method.

Method And Apparatus For Real-Time Pedestrian Detection For Urban Driving
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US Patent:

20110255741, Oct 20, 2011
Filed:

Feb 7, 2011
Appl. No.:

13/022118
Inventors:

Mayank Bansal - Plainsboro NJ, US
Bogdan Calin Mihai Matei - Princeton Junction NJ, US
Jayan Eledath - Princeton NJ, US
Harpreet Singh Sawhney - West Windsor NJ, US
Rakesh Kumar - West Windsor NJ, US
Raia Hadsell - Princeton Junction NJ, US
International Classification:

G06K 9/00
US Classification:

382103
Abstract:

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.

Real-Time System For Multi-Modal 3D Geospatial Mapping, Object Recognition, Scene Annotation And Analytics
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US Patent:

20170053538, Feb 23, 2017
Filed:

Nov 7, 2016
Appl. No.:

15/344900
Inventors:

- Menlo Park CA, US
Raia Hadsell - Princeton Junction NJ, US
Rakesh Kumar - West Windsor NJ, US
Harpreet S. Sawhney - Princeton Junction NJ, US
Bogdan C. Matei - Princeton Junction NJ, US
Ryan Villamil - Plainsboro NJ, US
International Classification:

G08G 5/00
G06T 17/05
Abstract:

A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.

Real-Time System For Multi-Modal 3D Geospatial Mapping, Object Recognition, Scene Annotation And Analytics
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US Patent:

20150268058, Sep 24, 2015
Filed:

Dec 18, 2014
Appl. No.:

14/575472
Inventors:

- Menlo Park CA, US
Raia Hadsell - Princeton Junction NJ, US
Rakesh Kumar - West Windsor NJ, US
Harpreet S. Sawhney - Princeton Junction NJ, US
Bogdan C. Matei - Princeton Junction NJ, US
Ryan Villamil - Plainsboro NJ, US
International Classification:

G01C 21/36
Abstract:

A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.

Real-Time System For Multi-Modal 3D Geospatial Mapping, Object Recognition, Scene Annotation And Analytics
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US Patent:

20150269438, Sep 24, 2015
Filed:

Dec 18, 2014
Appl. No.:

14/575495
Inventors:

- Menlo Park CA, US
Raia Hadsell - Princeton Junction NJ, US
Rakesh Kumar - West Windsor NJ, US
Harpreet S. Sawhney - Princeton Junction NJ, US
Bogdan C. Matei - Princeton Junction NJ, US
Ryan Villamil - Plainsboro NJ, US
International Classification:

G06K 9/00
G06K 9/62
G06T 17/05
Abstract:

A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.

Raia T Hadsell