Thales Canada Inc.

Hitachi Rail Gts Canada Inc.

Ground Transportation Systems Canada Inc.

Alon Green

Walter Kinio

Firth Whitwam

Marco De Thomasis

Dennis Yazhemsky

David Beach

Rodney Ignatius

Peter Timmermans

Kevin Tobin

Philip Christian

Rudy Rochefort

James Kevin Tobin

Marco De-Thomasis

George V Eleftheriades

Abe Kanner

David Dimmer

Jaewook Jung

Mihai Lungu

Mircea Georgescu

Gunho Sohn

Michael Rickard

Alex M H Wong

Adam Le

Tyler Daoust

Bojan Subasic

Shahin Sirouspour

Andrei Bucsa

Andrew Batchelor

Gunho Sohn Sohn

A controller for a vehicle includes a processor configured to repeatedly perform operations, at each control iteration among a plurality of control iterations along a path of the vehicle from a start location to a target location. The operations include, based on a current state of the vehicle, generating a travel plan for a remainder of the path from a current position of the vehicle to the target location, by solving an optimization problem. The operations further include controlling a motoring and braking system of the vehicle to execute the generated travel plan until a next control iteration among the plurality of control iterations.

Controller, system and method for vehicle control

Embodiments of a method of locating a guideway mounted vehicle are disclosed. In one embodiment, a communication signal is transmitted to a wayside communication device. A range estimation is obtained based on the communication signal. A radar signal is transmitted to at least one reflector. An accuracy of the range estimation is increased based on the radar signal.

Method and system for high-integrity vehicle localization

A system includes a neural network encoder, an environmental filter and a neural network decoder. The neural network encoder is configured to generate encoded data from input data. The environmental filter is communicably connected with the encoder and configured to combine the encoded data with at least one randomized image to generate signature data corresponding to the input data. The neural network decoder is configured to be trained together with the encoder and the environmental filter to decode the signature data to generate decoded data corresponding to the input data.

System for and method of data encoding and/or decoding using neural networks

A positioning and odometry system (POS) includes one or more sensors configured to collect sensor data. The one or more sensors are operably coupled to a portable housing configured to be coupled to a vehicle body. POS has processing circuitry operably coupled to the one or more sensors. The processing circuitry is configured to determine, in response to the collected sensor data from the one or more sensors, vehicle position and odometry data.

Portable positioning and odometry system

Systems and method of calibrating a range measurement system for a vehicle mounted on a guideway are disclosed. In some embodiments, a method includes: measuring a first time of transmission (TOT) between a first internal component of an on-board range measurement device and a second internal component of a wayside range measurement device. The first TOT is compared with a first pre-determined time. A health of the range measurement system is determined based on a difference between the first TOT and the first pre-determined time.

Systems and methods of calibrating a range measurement system

A control system for a vehicle includes a first controller, a second controller, and an auto-tuner. The first controller is configured to generate an optimal trajectory of the vehicle along a path. The second controller is configured to, based on the optimal trajectory generated by the first controller, generate motoring and braking commands to a motoring and braking system of the vehicle for controlling the vehicle to travel along the path. The auto-tuner includes a processor configured to solve a real-time optimization problem to determine at least one parameter of at least one of the first controller or the second controller.

Controller, control system and method for vehicle control

A metasurface includes a dielectric material, a ground plane on a back side of the dielectric material; and at least one conductive element on a top surface of the dielectric material, wherein the at least one conductive element includes at least one of a ground-backed dipole or a slot array.

Near-grazing retroreflectors for polarization

Systems and methods of calibrating an Inertial Measurement Unit (IMU) on a vehicle are disclosed. In some embodiments, a first tilt angle of the IMU is measured with the IMU while the vehicle is stationary. A second tilt angle of the IMU is measured with an inclinometer or tilt sensor while the vehicle is stationary. The orientation of the IMU is corrected based on the first tilt angle and the second tilt angle.

System and method of calibrating an inertial measurement unit on a vehicle

A method and system include receiving positioning and motion information from one or more positioning and motion devices on a vehicle on a guideway, based on the positioning and motion information, receiving information from a database on the vehicle, the information comprising track geometry information and infrastructure information corresponding to the guideway, using the track geometry information and positioning and motion information to determine a path of the guideway and a trajectory of the vehicle along the path, receiving data from one or more electromagnetic sensors on the vehicle, and detecting an object by using the trajectory, the infrastructure information, and the information from the one or more electromagnetic sensors.

High-integrity object detection system and method

A positioning and odometry system includes two or more vehicle beacons installed on an end of a vehicle and configured to communicate with one or more guideway beacons installed along a guideway. Processing circuitry is configured to communicate with the one or more vehicle beacons and perform at least one of: determine, before the processing circuitry enters a sleep state, a first vehicle position on the guideway; determine, after the processing circuitry wakes from the sleep state, a second vehicle position on the guideway; determine, after the processing circuitry wakes from the sleep state, any difference between the first vehicle position on the guideway and the second vehicle position on the guideway; determine a third vehicle position on the guideway using range measurements taken at configurable time intervals; and determine a vehicle speed where speed is measured as a change in the third vehicle position over time.

Positioning and odometry system

A signal aspect enforcement method for a rail vehicle includes determining if vehicle position is unknown. The system determines if rail vehicle speed is less than a line-of-sight threshold speed. The system determines the grade of the rail. A worst-case braking distance of rail vehicle is calculated. The signal aspect is determined using a camera system and a beacon system. The system determines if the signal aspect determined by camera system is same as signal aspect determined by beacon system and, if so, determines the route of rail vehicle and speed limit of rail vehicle.

Signal aspect enforcement

A system for controlling a vehicle includes at least one vehicle network on board the vehicle, first and second controllers coupled to the at least one vehicle network and configured to communicate with each other via the at least one vehicle network, and first and second sensor sets coupled to the at least one vehicle network, and configured to communicate with any of the first and second controllers via the at least one vehicle network. Each of the first and second controllers is configured to, based on data output from any of the first and second sensor sets, control a movement of the vehicle independently of the other of the first and second controllers. The first sensor set is located at a first location on the vehicle, the second sensor set is located at a second location on the vehicle, and the second location is different from the first location.

System and method for vehicle control

A system for determining a stationary state of a rail vehicle on a track includes a first radar mounted at an end of the rail vehicle and a second radar mounted at another end of the rail vehicle. A speed sensor is mounted on the rail vehicle. A series of fixed reflective track features are found along the track. A processing unit, communicably connected with the speed sensor, the first radar and the second radar receives data from the first radar and the second radar corresponding to the distance to the fixed reflective track features and determines the stationary state or low-speed condition of the rail vehicle and checks the state or condition by comparing it with an output of the speed sensor.

System and method to determine low-speed and stationary state of a rail vehicle

A vehicle locator includes an on-board computer and a ground penetrating radar mounted on the vehicle that is communicably connected to the on-board computer. A reflective landmark is located at a known location along the path of the vehicle. The reflective landmark includes reflective elements arranged to encode data. The ground penetrating radar transmits signal energy and detects reflected signal energy reflected by the reflective landmark and communicates encoded data representative of the reflected signal energy to the on-board computer. The on-board computer decodes the encoded data and thereby determines the location of the vehicle.

Method and system for high-integrity vehicle localization and speed determination

A method for determining rail vehicle location and identifying obstacles, which includes operations of transmitting, from at least two vehicle beacons on a first vehicle, a ranging signal to at least two external beacons; receiving, at the at least two vehicle beacons, a return signal from the at least two external beacons; and determining, based on the return signal from the at least two external beacons, a position of each of the external beacons with respect to the at least two vehicle beacons of the first vehicle.

Growing community of inventors

Toronto, Canada

Alon Green