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 center-of-mass height estimation device includes a roll moment calculation unit for calculating roll moment of a sprung portion in a vehicle on the basis of bearing capacities of left and right suspensions provided on the vehicle, a lateral acceleration measurement unit for measuring lateral acceleration, which is acceleration in a width direction of the vehicle, a mass measurement unit for measuring mass of the sprung portion, a transfer function calculation unit for calculating a transfer function of the roll moment with respect to the lateral acceleration, and a center-of-mass height calculation unit for dividing the gain of the transfer function by the mass of the sprung portion to calculate a height from a roll center of the vehicle to a center of mass of the sprung portion.

Systems, methods, and apparatuses for controlling components of a vehicle are provided. The vehicle can include a data processing system (“DPS”) including one or more processors and memory. The DPS can receive sensor data from sensors of the vehicle. The DPS can determine a vehicle body height. The DPS can determine a vehicle roll angle. The DPS can determine a first height of a road and a second height or the road. The DPS can determine a road height based on the first height of the road and the second height of the road. The DPS can provide the road height to a controller of one or more vehicles. The DPS can adjust the component of the one or more vehicles.

Disclosed is an electronic apparatus for detecting risk factors around a vehicle. The present electronic apparatus comprises a communicator, a memory storing at least one computer-executable instruction, and a processor for executing the at least one computer-executable instruction, wherein the processor receives, through the communicator, an image obtained from a camera located to capture the outside of the vehicle, calculates a rollover index of an external vehicle on the basis of an image of the external vehicle included in the obtained image, and performs a preset operation according to the calculated rollover index.

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.

A method for determining vehicle characteristic variables of a motor vehicle. The motor vehicle has active dampers which can set adjusting forces at the respective wheel suspensions in order to be able to raise and/or lower the body of the motor vehicle and which can also measure the acting forces. Specific predefined adjusting forces of the active dampers are imparted in order to ascertain vehicle characteristic variables from the resulting adjustment and the resulting measured forces.

A vehicle turning control device and a method thereof are disclosed. A saturated rear-wheel lateral offset angle when a rear-wheel lateral force is saturated in turning of a vehicle is obtained from a control state amount and a motion state amount of the vehicle detected. An actual rear-wheel lateral offset angle, and a vehicle body lateral offset angular speed, are calculated from the motion state amount. A first correction amount for correcting a comparison value of the saturated rear-wheel lateral offset angle and the actual rear-wheel lateral offset angle is calculated from speed. A second correction amount for correcting the vehicle body lateral offset angular speed is calculated from the speed and the first correction amount. A target yaw momentum is calculated from the saturated rear-wheel lateral offset angle, the actual rear-wheel lateral offset angle, the comparison value, and the vehicle body lateral offset angular speed.