The vehicle of the disclosure includes: a brake; an vehicle sensor configured to obtain external environment information of the vehicle; a brake damage calculator configured to estimate a damage level of the brake based on the external environment information; a braking ratio calculator configured to calculate a regenerative braking and hydraulic braking performance ratio of the vehicle based on the estimated damage level of the brake; and a controller configured to control the vehicle to perform regenerative braking and hydraulic braking according to the calculated regenerative braking and hydraulic braking performance ratio.

A brake cooling period prediction system for predicting a brake cooling period following a braking event, comprising a sensor apparatus in communication with a prediction apparatus. The sensor apparatus includes a torque sensor for measuring the torque reacted by a brake during a braking event; a wear sensor for measuring a wear state of the brake; and an environmental sensor for measuring at least one ambient condition of the environment of the brake. The prediction apparatus includes a memory storing information relating to the thermal behaviour of the brake; and a controller configured to receive a torque measurement, a wear measurement and an ambient condition measurement from the sensor apparatus; and predict a cooling period based on the received torque, wear and ambient condition measurements, and the information relating to the thermal behaviour of the brake.

Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, the disclosed technology can include receiving state data that includes information associated with states of an autonomous vehicle and an environment external to the autonomous vehicle. Responsive to the state data satisfying vehicle stoppage criteria, vehicle stoppage conditions can be determined to have occurred. A severity level of the vehicle stoppage conditions can be selected from a plurality of available severity levels respectively associated with a plurality of different sets of constraints. A motion plan can be generated based on the state data. The motion plan can include information associated with locations for the autonomous vehicle to traverse at time intervals corresponding to the locations. Further, the locations can include a current location of the autonomous vehicle and a destination location at which the autonomous vehicle stops traveling.

An environment information acquisition unit 20 acquires an image in which environment around a vehicle has been imaged, information indicating a contact with the vehicle or an impact on the vehicle, surround sounds, approach identification information for enabling an approach of an emergency vehicle to be identified, and the like as surrounding environment information of the vehicle. A vehicle control processing unit 61 recognizes predetermined external stimulation information included in the surrounding environment information, for example, a specific signal or a movement with a specific pattern, a contact to a specific part, and a specific sound. The vehicle control processing unit 61 uses the recognized predetermined external stimulation information as a vehicle brake instruction from outside and starts a vehicle braking sequence to stop the vehicle. Even if an abnormality occurs in an automatically driven vehicle and the like, vehicle brake control is easily applied to a traveling vehicle from outside.

A method for activating a parking brake of a motor vehicle, wherein the parking brake is activated automatically if the motor vehicle is at a standstill or its ignition is switched off. The motor vehicle and/or the environment is detected subsequent to the automatic activation of the parking brake, and that said current situation is compared to stored situations of the motor vehicle and/or the environment, for which a rolling capability of the motor vehicle at a standstill and/or with its ignition switched off has been designated.

A method for controlling a braking system of a vehicle may include detecting, by a first plurality of detection devices distributed on the braking system of the vehicle, first information representative of a condition of motion of the vehicle. The method may also include detecting, by a second plurality of detection devices belonging to a first driver assistance sub-system associated with the vehicle, second information representative of a condition of motion of the vehicle. The method may also include determining, by a first data processing block, a first control signal of a braking module of the vehicle based on the first information and the second information. The method may also include controlling, by the first data processing block, the braking module of the vehicle based on the determined first control signal.

Embodiments of the present disclosure are directed to dynamically and automatically adjusting a standard regenerative braking intensity. Roadway data, data from one or more sensors of the vehicle and data comprising parameter values for operating states of the vehicle regarding a roadway from a route being navigated by the vehicle are received by a processor of a control system of the vehicle. Standard regenerative braking intensity values based on a vehicle's acceleration is retrieved from memory. Adjusted regenerative braking intensity values are calculated based on at least one of the roadway data, the sensor data and the parameter values of the operating states of the vehicle and the standard regenerative braking intensity values. The adjusted regenerative braking intensity values are transmitted to the control system and an acceleration or deacceleration amount is applied to the vehicle based on the adjusted regenerative braking intensity values.

In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.

Complete or predominant use of regenerative braking in electric motorcycles rather than hydraulic braking may lead to brake discs and pads that are below an optimum operating temperature. To reduce the risk of accident, an indicator warns motorcycle riders that the brakes are below optimum operating temperature. With this knowledge, riders are prepared to apply extra braking force when slowing down, particularly in an emergency situation. Relative application of the regenerative brake and hydraulic brakes may be controlled to raise the temperature of the brakes so that they are primed.

A driver assistance apparatus for a vehicle including an interface unit; and a processor that receives driving situation information and data about an object outside the vehicle through the interface unit, and determines an operation sensitivity of an autonomous emergency braking (AEB) operation corresponding to the object based on the received driving situation information, and generates control signal of the AEB operation to control a braking operation of the vehicle based on the determined operation sensitivity.