Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.

Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.

A train safety system comprises a cable connected to at least two conducting contacts, an electrical load between said two conducting magnetic contacts, and a DC track circuit associated with railroad tracks wherein the at least two conducting plates can be connected to each of the railroad rails in order to shunt the DC track circuit and alert oncoming trains of fouling of the tracks or crossing ahead.

An anti-collision system for railcars and locomotives and, more particularly, to a distance ranging and worker coupling protection system utilizes remote-sensing radar techniques for use with a locomotive and railcar. The anti-collision system may include an object detector device attached to a railcar or a locomotive that detects objects in a path of the railcar and the locomotive and a train display device electrically connected to the object detector device. The anti-collision system may also include an emergency action device which enables a crew member to stop the railcar or locomotive without communication to a locomotive operator when a hazard is recognized. The object detector device may include a remote sensor, a radio, and a microprocessor programmed to include data-logging to record and log all data from the anti-collision system.

An anti-collision system for railcars and locomotives and, more particularly, to a distance ranging and worker coupling protection system utilizes remote-sensing radar techniques for use with a locomotive and railcar. The anti-collision system may include an object detector device attached to a railcar or a locomotive that detects objects in a path of the railcar and the locomotive and a train display device electrically connected to the object detector device. The anti-collision system may also include an emergency action device which enables a crew member to stop the railcar or locomotive without communication to a locomotive operator when a hazard is recognized. The object detector device may include a remote sensor, a radio, and a microprocessor programmed to include data-logging to record and log all data from the anti-collision system.

The present disclosure relates to a railway collision protection and safety system having a vehicle device located on rail vehicles at a work zone, a personal protection unit located with rail workers at the work zone, and a dispatcher processor at a control center. An authority limit within the work zone may be determined by the dispatcher processor, and an authority exceeded signal is sent to the rail vehicle when the rail vehicle is determined to exceed the authority limit.

The present disclosure relates to a railway collision protection and safety system having a vehicle device located on rail vehicles at a work zone, a personal protection unit located with rail workers at the work zone, and a dispatcher processor at a control center. An authority limit within the work zone may be determined by the dispatcher processor, and an authority exceeded signal is sent to the rail vehicle when the rail vehicle is determined to exceed the authority limit.

In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs, and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs, and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

A railroad monitoring system according to the present disclosure includes a cable (20) including a communication optical fiber being laid on a railroad (10), a reception unit (331) configured to receive an optical signal from at least one communication optical fiber included in the cable (20), and a detection unit (332) configured to detect a pattern according to a state of the railroad (10), based on the optical signal, and detect an abnormal state of the railroad (10), based on the detected pattern according to the state of the railroad (10).