An anti-collision system and method of a vehicle including a first sensor device to capture first sensor data associated with a first vehicle in front of the vehicle, a second sensor device to capture second sensor data associated with a second vehicle behind the vehicle, and a processing device to calculate, based on the first sensor data, a plurality of first parameters characterizing the first vehicle, calculate, based on the second sensor data, a plurality of second parameters characterizing the second vehicle, responsive to detecting a braking event by the first vehicle, determine, based on a rule taking into consideration at least one of the plurality of first parameters and at least one of the plurality of second parameters, a braking force for the vehicle, and generate a braking control signal that applies the braking force to brakes of the vehicle.

A method for controlling a braking system of a vehicle for the distribution of braking forces for parking the vehicle involves receiving, by a system for controlling the braking system, a first piece of information representative of a first working temperature of a first vehicle front axle, a second piece of information representative of a second working temperature of a second vehicle rear axle, a third piece of information representative of a gradient of the vehicle, a fourth piece of information representative of a coefficient of friction between the vehicle and a road, and a fifth piece of information representative of a weight of the vehicle, and determining a first target braking force to be applied to the first front axle and a second target braking force to be applied to the second rear axle based on the first, second, third, fourth and fifth pieces of information.

A method and device for monitoring a vehicle's brake system in an autonomous driving system are disclosed. The method includes: setting criteria information for determining whether the brake system is operating normally; receiving information related to the vehicle's braking; performing neural network training based on the braking-related information; determining whether the brake system is operating normally based on results of the neural network training and the criteria information; and giving feedback to a user based on the determination. According to an exemplary embodiment of the present invention, vehicle driving safety can be ensured by notifying the user in a timely manner that the vehicle's braking-related parts should be replaced or calibrated. In the present invention, one or more among an autonomous vehicle, a user terminal, and a server may be associated with an artificial intelligent module, a drone (unmanned aerial vehicle (UAV)) robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

A vehicle crane having a hydropneumatic suspension and a braking system including wheel brakes and a first braking circuit assigned to the wheel brakes of at least one vehicle axle and a second braking circuit assigned to the wheel brakes of at least one other vehicle axle. In order to adapt the actuation of the braking system to the weight state, the hydropneumatic suspension is coupled to an automatically load-dependent braking force regulator that is operatively connected to one of the braking circuits or to one of their braking circuit sections such that, on the basis of a weight state signal of the vehicle crane generated from the hydropneumatic suspension, a braking pressure generated inside the braking circuit or braking circuit section coupled to the automatically load-dependent braking force regulator, can be varied with respect to a braking pressure generated simultaneously inside the other braking circuit or braking circuit section.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

A variable load calculator calculates a variable load command VL based on AS pressure and a predetermined table. A vehicle deceleration calculator calculates vehicle deceleration α based on a brake notch command BN and a predetermined table. A required braking force calculator calculates required braking force BL by multiplying a weight indicated by the variable load command VL and the vehicle deceleration α. An electric braking controller calculates an electric braking pattern in accordance with the required braking force BL and then transmits the electric braking pattern to an inverter controller. The electric braking controller calculates an electric braking force produced by operation of the electric motor and then transmits to a subtractor as feedback BT the electric braking force adjusted in accordance with a speed of the electric motor. The subtractor transmits to a mechanical brake as a mechanical braking command a result obtained by subtracting the feedback BT from the required braking force BL.

Various examples of a controller, method and system for determining positions of a tractor-trailer vehicle train are disclosed. In one example a tractor controller is manually-initiated or a user-initiated tractor controller and includes an electrical control port for receiving an electrical start signal, and a communications port for receiving data. A processing unit of the tractor controller includes control logic and is in communication with the electrical control port. The control logic is capable of receiving, in response to the electrical start signal, a data signal at the communications port which includes a GPS signal and a unique identification which corresponds to the towed vehicle. At a predetermined response time, the tractor controller determines the position of the towed vehicle in the tractor-trailer vehicle train based on the data received from the towed vehicles.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

A vehicle crane having a hydropneumatic suspension and a braking system including wheel brakes and a first braking circuit assigned to the wheel brakes of at least one vehicle axle and a second braking circuit assigned to the wheel brakes of at least one other vehicle axle. In order to adapt the actuation of the braking system to the weight state, the hydropneumatic suspension is coupled to an automatically load-dependent braking force regulator that is operatively connected to one of the braking circuits or to one of their braking circuit sections such that, on the basis of a weight state signal of the vehicle crane generated from the hydropneumatic suspension, a braking pressure generated inside the braking circuit or braking circuit section coupled to the automatically load-dependent braking force regulator, can be varied with respect to a braking pressure generated simultaneously inside the other braking circuit or braking circuit section.

Various examples are directed to systems and methods for operating a vehicle comprising a tractor and a trailer attached for pulling behind the tractor. A center-of-mass system may determine a mass of the trailer and a tractor understeer. The center-of-mass system may determine the tractor understeer using steering input data describing a steering angle of the tractor and yaw data describing a yaw of the tractor. The center-of-mass system may determine a load center of mass using the tractor understeer and a mass of the trailer. The center-of-mass system may further determine that the load center of mass transgresses a center-of-mass threshold and send an alert message indicating that the load transgresses the load center-of-mass threshold.