The present invention provides a vehicle control apparatus which allows a vehicle to safely negotiate a bump smoothly without feeling unusual to the driver of the vehicle. This vehicle control apparatus is characterized by comprising: a strain sensor output value acquisition unit that acquires the output value of a strain sensor (113) mounted to a drive shaft (115) for driving wheels (116); and a vehicle behavior detection unit that detects when the wheels (116) start moving on the basis of when the output value of the strain sensor decreases from the value when the wheels (116) are in the stopped state.

The present disclosure relates to technology for controlling a driving speed of a utility vehicle. According to one embodiment, a device includes: a speed sensor that detects the driving speed of the utility vehicle; a wind speed sensor or a data interface that detects a wind speed on or in front of the utility vehicle; a locating unit that locates the utility vehicle on a route travelled by the utility vehicle; and a control unit that controls the driving speed of the utility vehicle according to the detected driving speed, the detected wind speed and a topography ahead of the utility vehicle on the route according to the location. With the topography ahead of the utility vehicle, the controlled driving speed is an increasing function of the detected wind speed in the direction of the driving speed.

Structural component, in particular for a vehicle body, comprising a structural element (12) and a sensor arrangement (16), wherein the sensor arrangement (16) is connected to the structural element (12) and comprises at least one optical waveguide (14).

An electric vehicle includes a second rotating electric machine; a first transmission path configured to transmit force generated by the second rotating electric machine to a wheel; a first clutch that is arranged in the first transmission path and configured to switch between a connected state and a disconnected state between the second rotating electric machine and the wheel; and an ECU configured to control the second rotating electric machine and the first clutch. In the electric vehicle, a torque sensor is arranged between the first clutch and the wheel in the first transmission path.

A system and a method for measuring a road surface input load for a vehicle, may include a plurality of strain gauges mounted on a surface of a hub bearing in the vehicle; a storage connected to the plurality of strain gauges and configured to store a deep learning artificial neural network model which learns road surface input load data of the vehicle according to the pieces of output data of the plurality of strain gauges; and a processor connected to the storage and the plurality of strain gauges and configured to perform calculation which is performed in each layer of the deep learning artificial neural network model stored in the storage and derive the road surface input load data of the vehicle according to the pieces of output data of the plurality of strain gauges.

The present invention provides a vehicle control apparatus which allows a vehicle to safely negotiate a bump smoothly without feeling unusual to the driver of the vehicle. This vehicle control apparatus is characterized by comprising: a strain sensor output value acquisition unit that acquires the output value of a strain sensor (113) mounted to a drive shaft (115) for driving wheels (116); and a vehicle behavior detection unit that detects when the wheels (116) start moving on the basis of when the output value of the strain sensor decreases from the value when the wheels (116) are in the stopped state.

There is provided a measurement device including a data acquisition unit that acquires pieces of first to third data output from first to third sensors provided on a structure, an abnormality determination unit that determines whether or not each of the sensors is abnormal, a moving object detection unit that detects a moving object based on at least one of the first data and the second data, and a displacement amount calculation unit that calculates a displacement amount of the structure based on the third data, in which, when the first sensor provided on a main girder closest to an i-th lane of the structure or a main girder second closest to the i-th lane is not abnormal, the moving object detection unit detects the moving object moving on the i-th lane based on the first data output from the first sensor.

A system determines a wheel contact force in a vehicle that includes a support system including a wheel and a force transmission member configured to transfer a load and/or power to, and from, the wheel to the support system. The includes a sensor connected to the force transmission member that is configured to detect strain in the force transmission member and generate signals representative of the strain and a processor configured to derive a lateral force on the wheel from the signals. A method of calibrating a wheel force measurement system for a vehicle includes measuring a lateral force on a flange of a wheel in contact with a rail or road surface, generating data with a sensor on the force transmission member, and calibrating the data based at least in part on the measured lateral force. A method of operating a vehicle includes determining a plurality of lateral forces Y on a wheel of the vehicle, summing a plurality of lateral forces Y to determine a sum of wheel lateral forces ΣY, determining a vertical force Q on the wheel, determining a lateral to vertical coefficient value defined as ΣY/Q, and controlling operation of the vehicle to maintain the lateral to vertical coefficient below a determined limit or within a determined range.

A robotic cart platform with a navigation and movement system that integrates into a conventional utility cart to provide both manual and autonomous modes of operation. The platform includes a drive unit with drive wheels replacing the front wheels of the cart. The drive unit has motors, encoders, a processor and a microcontroller. The system has a work environment mapping sensor and a cabled array of proximity and weight sensors, lights, control panel, battery and on/off, GO and emergency stop buttons secured throughout the cart. The encoders obtain drive shaft rotation data that the microcontroller periodically sends to the processor. When in autonomous mode, the system provides navigation, movement and location tracking with or without wireless connection to a server. Stored destinations are set using its location tracking to autonomously navigate the cart. When in manual mode, battery power is off, and back-up power is supplied to the encoders and microcontroller, which continue to obtain shaft rotation data. When in autonomous mode, the shaft rotation data obtained during manual mode is used to determine the present cart location.

A control system and method for a hybrid vehicle involve controlling a hybrid powertrain comprising an engine and a transmission having one or more electric motors and not comprising a decoupling mechanism therebetween, detecting an operating condition where the transmission is in neutral and the vehicle is moving at a speed less than a low speed threshold, and in response to detecting the operating condition: determining a desired propulsive torque of the powertrain, determining an actual propulsive torque at the driveline, calculating a torque difference between the actual and desired propulsive torques over a period, comparing the calculated torque difference to a first movement threshold, and when the calculated torque difference exceeds the first movement threshold, applying an electric parking brake (EPB) of the vehicle.