A system for ground plane cancellation, comprising an image data system configured to generate image data and associated coordinate data for pixels contained in the image data. A ground plane calculation system configured to generate ground plane coordinate data. A ground plane correction system configured to subtract pixels associated with the ground plane coordinate data from the image data.

A method and system are disclosed for estimating a relative motion of vehicle body portions with respect to each other along a road segment having a length (L); the method and system allow to estimate road unevenness induced vehicle body motions and are based on the estimation of the deformation, over multiple tire rotations, of at least two tires of a vehicle.

A method and system are disclosed for estimating a relative motion of vehicle body portions with respect to each other along a road segment having a length (L); the method and system allow to estimate road unevenness induced vehicle body motions and are based on the estimation of the deformation, over multiple tire rotations, of at least two tires of a vehicle.

A system and corresponding method for autonomous driving of a vehicle are provided. The system comprises at least one neural network (NN) that generates at least one output for controlling the autonomous driving. The system further comprises a main data path that routes bulk sensor data to the at least one NN and a low-latency data path with reduced latency relative to the main data path. The low-latency data path routes limited sensor data to the at least one NN which, in turn, employs the limited sensor data to improve performance of the at least one NN's processing of the bulk sensor data for generating the at least one output. Improving performance of the at least one NN's processing of the bulk sensor data enables the system to, for example, identify a safety hazard sooner, enabling the autonomous driving to divert the vehicle and avoid contact with the safety hazard.

A system and corresponding method for autonomous driving of a vehicle are provided. The system comprises at least one neural network (NN) that generates at least one output for controlling the autonomous driving. The system further comprises a main data path that routes bulk sensor data to the at least one NN and a low-latency data path with reduced latency relative to the main data path. The low-latency data path routes limited sensor data to the at least one NN which, in turn, employs the limited sensor data to improve performance of the at least one NN's processing of the bulk sensor data for generating the at least one output. Improving performance of the at least one NN's processing of the bulk sensor data enables the system to, for example, identify a safety hazard sooner, enabling the autonomous driving to divert the vehicle and avoid contact with the safety hazard.

A controller and a method for controlling motion of a vehicle is provided. The method comprises acquiring motion information including a current state of the vehicle and a desired state of the vehicle, determining a combination of a steering angle of the wheels and motor forces for moving the vehicle from the current state into the desired state by using a first model of the motion of the vehicle and a second model of the motion of the chassis of the vehicle, determining a cost function of the motion of the vehicle, optimizing the cost function of the motion of the vehicle to compute a command signal for controlling the steering wheel and the plurality of electric motors, and controlling the steering angle of the wheels and the motor forces based on the command signal.

A controller and a method for controlling motion of a vehicle is provided. The method comprises acquiring motion information including a current state of the vehicle and a desired state of the vehicle, determining a combination of a steering angle of the wheels and motor forces for moving the vehicle from the current state into the desired state by using a first model of the motion of the vehicle and a second model of the motion of the chassis of the vehicle, determining a cost function of the motion of the vehicle, optimizing the cost function of the motion of the vehicle to compute a command signal for controlling the steering wheel and the plurality of electric motors, and controlling the steering angle of the wheels and the motor forces based on the command signal.

A method and system for operating a vehicle's trailer reverse assist system is disclosed, including receiving vehicle sensor system data from one or more sensors supported by the vehicle. Based upon the received vehicle sensor data, a trailer pitch angle and a trailer roll angle of a coupled trailer are estimated relative to the vehicle. Surface unevenness of a surface traversed by the vehicle and the trailer is estimated, based upon the estimated trailer pitch angle and the estimated trailer roll angle. One or more parameters of the trailer reverse assist system or of the tow vehicle are adjusted based upon the estimated road surface variance. The trailer reverse assist system of the tow vehicle is subsequently operated using the adjusted one or more parameters.

A method and system for operating a vehicle's trailer reverse assist system is disclosed, including receiving vehicle sensor system data from one or more sensors supported by the vehicle. Based upon the received vehicle sensor data, a trailer pitch angle and a trailer roll angle of a coupled trailer are estimated relative to the vehicle. Surface unevenness of a surface traversed by the vehicle and the trailer is estimated, based upon the estimated trailer pitch angle and the estimated trailer roll angle. One or more parameters of the trailer reverse assist system or of the tow vehicle are adjusted based upon the estimated road surface variance. The trailer reverse assist system of the tow vehicle is subsequently operated using the adjusted one or more parameters.

A system and method of determining orientation of a physical location on a cart or end effector located on the cart in an independent cart. system receives a feedback signal from a sensor on the cart, A multi-axis device may generate three or more signals corresponding to X, Y, and Z axes orientations. Processing may be performed on the signals to generate a value of yaw, pitch, or roll of the cart. The feedback or processed signals are transmitted from the mover to a remote device external from the track. The real-time orientation information may be used to implement closed-loop control of an actuator mounted on or external to each cart as the cart travels along the track, Power for the devices on the mover may be provided by a battery mounted on the cart or by a wireless power transfer system.