Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Data is received regarding vehicle braking events, each event occurring on one of a plurality of vehicles, and each event associated with a location. A determination is made that the braking events correspond to a pattern. Based on determining that the braking events correspond to the pattern, a first location is identified. In response to identifying the first location, at least one action is performed.

The vehicle includes: a sensor part configured to acquire occupancy information of an surrounding area of the vehicle and a speed of the vehicle; a camera configured to acquire a surrounding image of the vehicle; and a controller configured to form map information based on the occupancy information according to movement of the vehicle, determine presence or absence of an obstacle around the vehicle based on the map information and the surrounding image, and control, in response to presence of the obstacle, the vehicle based on the presence of the obstacle and a possibility of collision of the vehicle derived from the speed of the vehicle and the map information.

The vehicle includes: a sensor part configured to acquire occupancy information of an surrounding area of the vehicle and a speed of the vehicle; a camera configured to acquire a surrounding image of the vehicle; and a controller configured to form map information based on the occupancy information according to movement of the vehicle, determine presence or absence of an obstacle around the vehicle based on the map information and the surrounding image, and control, in response to presence of the obstacle, the vehicle based on the presence of the obstacle and a possibility of collision of the vehicle derived from the speed of the vehicle and the map information.

The present disclosure relates to a method for autonomously controlling a vehicle performed by a vehicle control system, the vehicle control system comprising a zone control system, a collision prediction system and a braking control system, the method comprising the steps of: defining in the zone control system at least a first zone and a second zone relative to a vehicle position, predicting a collision with an obstacle with the prediction system, autonomously braking the vehicle with the braking control system in a first braking mode if the collision is predicted to occur in the first zone and braking the vehicle with the braking control system in a second braking mode if the collision is predicted to occur in the second zone.

The present disclosure relates to a method for autonomously controlling a vehicle performed by a vehicle control system, the vehicle control system comprising a zone control system, a collision prediction system and a braking control system, the method comprising the steps of: defining in the zone control system at least a first zone and a second zone relative to a vehicle position, predicting a collision with an obstacle with the prediction system, autonomously braking the vehicle with the braking control system in a first braking mode if the collision is predicted to occur in the first zone and braking the vehicle with the braking control system in a second braking mode if the collision is predicted to occur in the second zone.

The present disclosure discloses a brake control system for use in a vehicle and a control method thereof. A brake control system may be configured to include a brake pad for braking the vehicle by pressing a brake disc provided in the vehicle, a measuring apparatus for measuring the vehicle speed, the wear level of the brake pad, the traveling distance of the vehicle, the braking distance of the vehicle, and the braking pressure applied by the brake pad to the brake disc at braking, and a controller connected with the measuring apparatus and for controlling an operation of the brake pad. The controller may compare an initial braking distance, which is a design value of the braking distance before initial traveling of the vehicle, with a current braking distance, which is a braking distance after traveling of the vehicle during a certain duration, and increase the braking pressure of the brake pad in response to the amount of increase in the braking distance, when the amount of increase in the braking distance, which is a difference value between the current braking distance and the initial braking distance, is out of a setting range. The brake control system may transmit and receive a wireless signal in a mobile communication network constructed according to 5G (Generation) communication.

The present disclosure discloses a brake control system for use in a vehicle and a control method thereof. A brake control system may be configured to include a brake pad for braking the vehicle by pressing a brake disc provided in the vehicle, a measuring apparatus for measuring the vehicle speed, the wear level of the brake pad, the traveling distance of the vehicle, the braking distance of the vehicle, and the braking pressure applied by the brake pad to the brake disc at braking, and a controller connected with the measuring apparatus and for controlling an operation of the brake pad. The controller may compare an initial braking distance, which is a design value of the braking distance before initial traveling of the vehicle, with a current braking distance, which is a braking distance after traveling of the vehicle during a certain duration, and increase the braking pressure of the brake pad in response to the amount of increase in the braking distance, when the amount of increase in the braking distance, which is a difference value between the current braking distance and the initial braking distance, is out of a setting range. The brake control system may transmit and receive a wireless signal in a mobile communication network constructed according to 5G (Generation) communication.

Fuzzy-logic based traction control for electric vehicles is provided. The system detects a wheel slip ratio for each wheel. The system receives an input torque command. The system determines a slip error for each wheel based on the wheel slip ratio for each wheel and a target wheel slip ratio. The system, using the fuzzy-logic based control selection technique, selects a traction control technique from one of a least-quadratic-regulator, a sliding mode controller, a loop-shaping based controller, or a model predictive controller. The system generates a compensation torque value for each wheel. The system generates the compensation torque value based on the traction control technique selected via the fuzzy-logic based control selection technique and the slip error for each wheel. The system transmits commands to actuate drive units of the vehicles based on the compensation torque value.