General Electric Company

Alstom Transport Technologies

Transportation IP Holdings, LLC

Seneca Snyder

Jared Klineman Cooper

Mark Bradshaw Kraeling

Glenn Robert Shaffer

Nidhi Naithani

Dattaraj Jagdish Rao

Wing Yeung Chung

Jeffrey James Kisak

Scott Daniel Nelson

Anju Bind

Sreyashi Dey Chaki

Michael Scott Miner

Shannon Joseph Clouse

Nikhil Uday Naphade

Matthew Lawrence Blair

Anwarul Azam

Dale Martin DiDomenico

Brad Thomas Costa

Jerry Duncan

Daniel Malachi Ballesty

Phillip Martin

Ajith Kuttannair Kumar

Wolfgang Daum

Joseph Forrest Noffsinger

Sethu K Madhavan

Jeffrey Michael Fries

Paul Kenneth Houpt

Nicholas Nagrodsky

Daniel Joseph Rush

David Lowell McKay

Martin Paget

Suresh Govindappa

Manibabu Pippalla

Aadeesh Shivkant Bhagwatkar

Arunachala Karthik Sridharan

Prabhu Marimuthu

Sharon DSouza

Krishna Chaitanya Narra

Daniel Malachi Bellesty

System includes a controller configured to obtain one or more of a route parameter or a vehicle parameter from discrete examinations of one or more of a route or a vehicle system. The route parameter is indicative of a health of the route over which the vehicle system travels. The vehicle parameter is indicative of a health of the vehicle system. The discrete examinations of the one or more of the route or the vehicle system separated from each other by one or more of location or time. The controller is configured to examine the one or more of the route parameter or the vehicle parameter to determine whether the one or more of the route or the vehicle system is damaged. The system also includes examination equipment configured to continually monitor the one or more of the route or the vehicle system responsive to determining that the one or more of the route or the vehicle is damaged.

Vehicle control system and method

A train detection system for a railway track defines a first lateral side and a second lateral side opposite the first lateral side. Two cameras are arranged along the railway track spaced apart from each other. Each camera is placed on either the first lateral side or the second lateral side. The system includes at least one passive target. Each of the passive targets is placed within the field of view of at least one of the cameras and on the opposite lateral side of the railway track with respect to the at least one of the cameras in whose field of view the respective passive target is placed. The system also includes at least one controller adapted to recognise the passive target in the images provided by at least one of the cameras to the controller to determine whether a train is located on the railway track.

Train detection system for a railway track, a method for detecting a train on a railway track, and a controller for a train detection system for detecting a train on a railway track

This automatic vehicle control apparatus comprises a first image sensor positioned on a vehicle, able to capture a first global image of a first scene, including an area in front of the vehicle, in a first field of view of said first image sensor; a track occupancy detector for receiving the first global image and deducing therefrom a track occupancy of the vehicle among at least two set of parallel tracks positioned in front of the vehicle; a distinguishable object disposed in the first field of view; and a proper functioning checking apparatus configured for searching, in the first global image, a first specific image of the distinguishable object, and for generating an alert signal in case the first specific image is not found in the first global image.

Automatic vehicle control apparatus able to determine track occupancy of a vehicle, and corresponding method for automatically controlling the vehicle

An aerial system and method use a distance sensor to measure spatial distances between the distance sensor and plural vehicles in a vehicle system formed from the vehicles operably coupled with each other during relative movement between the distance sensor and the vehicle system. The spatial distances measured by the distance sensor are used to determine a size parameter of the vehicle system based on the spatial distances that are measured.

Aerial camera system and method for determining size parameters of vehicle systems

An aerial camera system includes an aerial device disposed onboard a non-aerial vehicle as the non-aerial vehicle moves along a route. The aerial device also can be configured to fly above the route during movement of the vehicle along the route. The camera unit is configured to be disposed onboard the aerial device and to generate image data during flight of the aerial device. The one or more image analysis processors are configured to examine the image data and to identify a hazard disposed ahead of the non-aerial vehicle along a direction of travel of the non-aerial vehicle based on the image data. A method for identifying route-related hazards using image data obtained from a camera unit on an aerial device.

Aerial camera system and method for identifying route-related hazards

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Melbourne, FL, United States of America

Seneca Snyder