Abstract: 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.

Abstract: A self-learning vehicle control system, the control system including: a controller configured to receive one or more of the following inputs: actual propulsion effort command; actual braking effort command; requested speed command; change in the requested speed command; change in the requested acceleration command; measured vehicle location; measured vehicle 3-D speed; measured vehicle 3-D acceleration; and measured vehicle 3-D angular speed; and one or more position determination sensors communicably connected with the controller; one or more 3-D speed determination sensors communicably connected with the controller; one or more 3-D acceleration determination sensors communicably connected with the controller; one or more 3-D angular speed determination sensors communicably connected with the controller; and an output device communicably connected with the controller and for providing requested speed and acceleration commands.

Abstract: 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.

Abstract: 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.

Abstract: A self-learning vehicle control system, the control system including: a controller configured to receive one or more of the following inputs: actual propulsion effort command; actual braking effort command; requested speed command; change in the requested speed command; change in the requested acceleration command; measured vehicle location; measured vehicle 3-D speed; measured vehicle 3-D acceleration; and measured vehicle 3-D angular speed; and one or more position determination sensors communicably connected with the controller; one or more 3-D speed determination sensors communicably connected with the controller; one or more 3-D acceleration determination sensors communicably connected with the controller; one or more 3-D angular speed determination sensors communicably connected with the controller; and an output device communicably connected with the controller and for providing requested speed and acceleration commands.

Abstract: 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.