It is an object of the present invention to suitably estimate a state of a vehicle. A vehicle state estimation section (1200) includes: a main computation section (1210) configured to carry out linear computation with respect to a state amount related to a state of a vehicle; and a tire model computation section (1240) configured to carry out nonlinear computation with direct or indirect reference to at least part of a result of the linear computation carried out by the main computation section (1210).

A method includes calculating, at a data processing hardware, a relative angle between a tow vehicle and a trailer attached to the tow vehicle. An absolute angle of the tow vehicle is determined at the data processing hardware. An absolute angle of the trailer based on the relative angle and the absolute angle of the tow vehicle is calculated at the data processing hardware. A dimension of the trailer is determined at the data processing hardware. A trailer levelling adjustment based on the absolute angle of the trailer and the dimension of the trailer is calculated at the data processing hardware.

A method includes calculating, at a data processing hardware, a relative angle between a tow vehicle and a trailer attached to the tow vehicle. An absolute angle of the tow vehicle is determined at the data processing hardware. An absolute angle of the trailer based on the relative angle and the absolute angle of the tow vehicle is calculated at the data processing hardware. A dimension of the trailer is determined at the data processing hardware. A trailer levelling adjustment based on the absolute angle of the trailer and the dimension of the trailer is calculated at the data processing hardware.

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 wheelie controller and a control method thereof or preventing a reduction of acceleration that is more than necessary and reducing a shock during a contact of a front wheel with the ground when a wheelie state is terminated. The wheelie controller for controlling a wheelie of a vehicle body computes a target trajectory, which is a target of a parameter and is used to control the wheelie state of the vehicle body, in accordance with the parameter that is related to pitch of the vehicle body and controls an increase/reduction of the pitch of the vehicle body so as to bring the parameter close to the target trajectory.

A wheelie controller and a control method thereof or preventing a reduction of acceleration that is more than necessary and reducing a shock during a contact of a front wheel with the ground when a wheelie state is terminated. The wheelie controller for controlling a wheelie of a vehicle body computes a target trajectory, which is a target of a parameter and is used to control the wheelie state of the vehicle body, in accordance with the parameter that is related to pitch of the vehicle body and controls an increase/reduction of the pitch of the vehicle body so as to bring the parameter close to the target trajectory.

A system, apparatus and method for enhancing a driver's field of view in a vehicle. Sensor data may be generated, via one or more first sensors, relating a pitch angle of the vehicle and received in a processing apparatus, which further determines if the pitch angle of the vehicle exceeds a configured pitch angle threshold for a configured period of time. One or more control signals may be transmitted to activate one or more cameras configured to capture image data at least in a front area of the vehicle if the processing apparatus determines that the pitch angle exceeds the configured pitch angle for the configured period of time. The captured image data may then be displayed on a display unit.

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.

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.