A controller for a motorcycle includes a mode change section that changes a mode to a first mode in a state where a temperature of a rear-wheel friction brake mechanism is lower than a first prescribed temperature and to a second mode in a state where the temperature of the rear-wheel friction brake mechanism is higher than the first prescribed temperature during automatic deceleration in the automatic cruise operation. In the case where the braking forces generated on the rear wheel in the first mode and the second mode are compared under a condition that the same deceleration is generated in the motorcycle by the automatic deceleration, in a state where the deceleration is at least less than a first reference amount, the braking force generated on the rear wheel in the second mode is smaller than the braking force generated on the rear wheel in the first mode.

The disclosure relates to a control method and system for braking backup in autonomous driving, a computer storage medium, a computer device, and a vehicle. The control method for braking backup in autonomous driving according to an aspect of the disclosure includes: receiving a status indication of an execution module associated with braking and a status indication of a function module associated with stability control; determining, based at least in part on the received status indication of the execution module associated with braking and the received status indication of the function module associated with stability control, a braking capability of the execution module associated with braking; and assigning a braking command based at least in part on the received status indication of the execution module associated with braking and the determined braking capability of the execution module associated with braking.

Aspects concern a method for controlling a braking of a vehicle. The method including detecting a braking situation, determining a classification of the braking situation, selecting a braking profile based on the determined classification, and applying a deceleration based on the selected braking profile to maintain a safety distance based on the selected braking profile.

A controller in a first vehicle includes an electrical input port adapted to receive a first electrical signal, based on a presence of a first service brake demand associated with a first brake valve on the first vehicle, and a second electrical signal, based on a presence of a second service brake demand associated with a second brake valve on the first vehicle. The controller is capable of determining if at least one of the first electrical signal and the second electrical signal indicates the respective presence of the first service brake demand and the second service brake demand. An electrical output port is adapted to transmit an electrical deceleration signal based on the presence of the at least one of the first service brake demand and the second service brake demand. A speed reducing mechanism on a second vehicle is applied based on the electrical deceleration signal.

A driving support device includes a braking controller configured to execute braking control, a first calculator configured to calculate a first braking control amount of the braking controller, a second calculator configured to calculate, on the basis of a setting standard, a second braking control amount of the braking control executed at an execution frequency lower than an execution frequency of the braking control based on the first braking control amount, and an updater configured to update the setting standard on the basis of a relative relationship between an estimated braking behavior based on the first braking control amount and an actual braking behavior based on the first braking control amount.

The present invention obtains a controller capable of improving safety of a motorcycle. The controller that controls vehicle body behavior of the motorcycle includes: an acquisition section that acquires trigger information generated in accordance with peripheral environment of the motorcycle; and an execution section that initiates a control mode making the motorcycle execute an automatic brake operation in accordance with the trigger information acquired by the acquisition section and makes the motorcycle generate a braking force. The acquisition section further acquires seat load information that is information of a load received by a seat of the motorcycle, and the execution section changes the automatic brake operation, which is executed in the control mode, in accordance with the seat load information acquired by the acquisition section.

A driver assistance system for automated longitudinal guidance of a motor vehicle includes a sensor system configured to identify an upcoming traffic scene, including locating road users situated ahead of the motor vehicle; and a control unit. The control unit is configured to carry out an automated longitudinal guidance of the motor vehicle depending on the upcoming traffic scene such that, in response to detecting that the upcoming traffic scene is a following-travel standstill situation, the motor vehicle is braked to a standstill at a target stopping distance from a road user situated ahead and identified as a target object. The control unit is also configured to detect a manual request to reduce the predefined target stopping distance. The control unit is further configured to reduce the target stopping distance to a reduced target stopping distance on the basis of the request.

A system and method for classifying an actuation of an electric parking brake of a vehicle is presented. In one example, the system includes a sensor configured to sense a vehicle parameter, an output device, a memory including an electric parking brake usage profile, and an electronic controller configured to receive the electric parking brake usage profile, receive the vehicle parameter, detect an actuation of the electric parking brake, and in response to detecting an actuation of the electric parking brake: determine a reason for the actuation of the electric parking brake, determine an attribute of the vehicle based on the vehicle parameter, classify the actuation of the electric parking brake based on a numerical value of the attribute and/or the reason for the actuation of the electric parking brake, update the electric parking brake usage profile based on the classification, and output the updated parking brake usage profile.

Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

The present invention provides a system and a method of detecting a preceding vehicle. The system for detecting a preceding vehicle includes: an image sensor configured to generate image information containing information on reception intensity of light reflected from a preceding vehicle; a pixel detection unit configured to detect pixel areas corresponding to light reflected from rear reflectors of the preceding vehicle from the generated image information; and an Autonomous Emergency Braking (AEB) operation point controller configured to group adjacent pixel areas among the detected pixel areas, and classify the kind of vehicle of the preceding vehicle by using at least one element of information between information on the number of grouped pixel areas and information on an interval.