Abstract: A method of controlling switching to a manual driving mode of an autonomous vehicle allowing stable transition to the manual driving mode and prevention of collision accidents includes performing motor drive control of a motor controller and braking control of a braking controller according to a command of an autonomous driving controller in a complex manner, when there is a risk of a collision accident caused by a difference between a target yaw rate of the autonomous vehicle and an actual yaw rate of the autonomous vehicle in a transition section from an autonomous driving mode to a manual driving mode during turning of the autonomous vehicle.

Abstract: A control method for monitoring and responding to hacking into a vehicle, which may monitor whether hacking is performed by cross-checking preset check values for each ID with each other in a state where a plurality of controllers mounted in an autonomous vehicle is connected like a blockchain, and response-control the vehicle in a safe state upon determining that a specific controller is hacked as a result of monitoring.

Abstract: A system includes an autonomous driving controller configured to calculate data necessary to control rotation of a host vehicle when collision between the host vehicle and another vehicle is expected. The autonomous driving controller determines an expected collision position based on a heading angle of the other vehicle approaching the host vehicle and the center of the host vehicle. The autonomous driving controller determines whether the expected collision position and the position of an occupant of the host vehicle correspond to each other. Upon determining that the expected collision position and the position of the occupant correspond to each other, the autonomous driving controller calculates data necessary to rotate the host vehicle based on a safety index indicating the degree of damage to the occupant depending on a collision position and the position of the occupant.

Abstract: A system for reducing damage from a vehicle collision includes an autonomous driving controller configured to calculate a collision index indicating the possibility of collision between a host vehicle and another vehicle approaching the host vehicle and to obtain data necessary to rotate the host vehicle in a stopped state. When the collision index is equal to or greater than a threshold value, the autonomous driving controller calculates a rotation direction and a rotation angle of the host vehicle based on a robustness index indicating the degree of damage to the host vehicle depending on a heading angle of the other vehicle and a collision position of the host vehicle. The autonomous driving controller calculates the rotation direction and rotation angle of the host vehicle so that collision with the other vehicle occurs at a collision position at which a value of the robustness index is maximized.

Abstract: A secondary collision avoidance control method of an autonomous vehicle includes: selecting, by an autonomous driving controller, a collision candidate vehicle based on sensor signals, estimating, by the autonomous driving controller, a moving path of the autonomous vehicle using the sensor signals, upon determining that collision of the autonomous vehicle with the collision candidate vehicle occurs, estimating, by the autonomous driving controller, secondary collision occurrence probabilities of the autonomous vehicle with the other vehicles, upon determining that the autonomous vehicle breaches an adjacent lane, confirming, by the autonomous driving controller, positions of additional collision candidate vehicles traveling in the lane breached by the autonomous vehicle, and calculating safety distances between the autonomous vehicle and the additional collision candidate vehicles, and controlling, by the autonomous driving controller, steering, driving torque, and braking torque of the autonomous vehicle so

Abstract: A control method for distribution of braking force of an autonomous vehicle may include a vertical load determination step in which a controller is configured to recognize an object existing in an interior of the vehicle and recognizes data of at least one among a position in the vehicle, a size, volume, density, weight, and center of gravity of the corresponding object, and determines a vertical load applied to each wheel of the vehicle according to the recognized data, wherein the controller transmits data of the determined vertical load of each wheel to a brake controller electrically connected to the controller, and the brake controller 40 determines an amount of the distribution of the braking force for each wheel of the vehicle according to the received data of the vertical load and drives a brake actuator electrically connected to the brake controller according to the determined amount of the distribution of the braking force.

Abstract: A method for controlling a secondary collision avoidance of a vehicle, includes, while an autonomous vehicle is stopped, identifying the positions of another vehicle and an obstacle around the vehicle in advance, and when a side collision occurs by another vehicle, controlling, by an autonomous driving controller, a driving torque and a braking torque of the vehicle to avoid a secondary collision with a vehicle other than another vehicle or the obstacle which may occur after the side collision, minimizing injury to passengers.

Abstract: A method of controlling collision avoidance of a vehicle, which is capable of preventing a collision accident caused by other vehicle even in a parked or stopped state of the vehicle, includes: detecting other vehicle in the parked or stopped state of the vehicle and predicting whether a collision occurs due to a movement of other vehicle and turning the vehicle during parking or stopping in a collision avoidance direction using a driving torque and a braking torque when a collision is expected due to the movement of other vehicle.

Abstract: A method of controlling vehicle driving, when a plurality of occupants is in the vehicle, by implementing components required for vehicle driving control as holographic images to ensure a maximum space in an autonomous vehicle, may include steps of requesting, by a first occupant currently having no driving control authority, a transfer of the authority by use of a holographic image, accepting, by a second occupant currently having the driving control authority, the transfer of the authority by use of the holographic image, selecting, by the first occupant, a mode by use of the holographic image based on the acceptance by the second occupant, and performing vehicle control in accordance with the mode selected by the first occupant, and the holographic images in the respective steps are displayed to the occupants wearing an HMD device.

Abstract: A method of controlling a time switching to a manual driving mode of an autonomous vehicle includes determining whether there is a request for switching to the manual driving mode, when there is the request, comparing at least one value of yaw rate, deceleration, and shifting in an autonomous driving route with at least one value of yaw rate, deceleration, and shifting by a driver's manual manipulation amount, and according to a size difference between the at least one value of yaw rate, deceleration, and shifting in the autonomous driving route and the at least one value of yaw rate, deceleration, and shifting by the driver's manual manipulation amount, performing a control operation of variably controlling the time switching from the autonomous driving mode to the manual driving mode.

Abstract: An apparatus for providing tire information is provided. The apparatus includes a detector that detects driving information as a vehicle is being driven and a controller that calculates a relative speed of a tire of the vehicle and a resonance frequency of the tire based on the driving information. The controller then compares the calculated relative speed and the calculated resonance frequency with a previously learned determination reference value to determine whether the tire is deflated.

Abstract: An embodiment system for controlling switching to a manual driving mode of an autonomous vehicle includes a steering controller configured to determine whether a steering angle is changed according to operation of a steering wheel by a driver, a braking controller configured to apply braking torque to a braking device of each wheel, a motor controller configured to apply individual regenerative braking torque and driving torque to each wheel, and an autonomous driving controller configured to determine a control torque for maintaining straight-ahead driving and to issue an instruction using a feedforward control scheme when a steering angle change signal according to the operation of the steering wheel by the driver is received from the steering controller in a transition section in which an autonomous driving mode is switched to the manual driving mode during high-speed straight-ahead driving of the autonomous vehicle.

Abstract: When there is a request of a driver for transition to manual driving mode while the autonomous vehicle is driving in autonomous driving mode, the autonomous vehicle is set to a safe state by performing control operations of maintaining a vehicle speed previously designated by the driver, maintaining safe distances between vehicles, and changing the driving land and the driving route. The driver is provided with a warning signal notifying that safe transition to the manual driving mode is possible. Accordingly, the driving mode of the autonomous vehicle is transited to the manual mode in a state in which the safety of the autonomous vehicle is obtained.

Abstract: A method of controlling switching to a manual driving mode of an autonomous vehicle, enables switching to the manual driving mode to be safely performed without interfering with a nearby vehicle in a safe lane or a safe place according to a surrounding driving environment by allowing a driver to select between switching to the manual driving mode while driving or switching to the manual driving mode after stopping to switch to the manual driving mode while the autonomous vehicle is driven in an autonomous driving mode.

Abstract: A method for controlling a driving mode transition of an autonomous driving vehicle may safely perform a lane change to avoid a collision accident with the other vehicle and prevent an injury to a joint, etc., while minimizing a sense of heterogeneity of a driver according to minimization of rotational steering of a steering wheel by determining whether the other vehicle in a next lane suddenly cuts in in an autonomous driving controller while the autonomous driving vehicle is driving in a manual driving mode and determining a safety distance from a rear vehicle to minimize rotational steering of the steering wheel held by the driver and at the same time perform partial braking control by autonomous driving mode transition control using an autonomous driving controller.

Abstract: A method of controlling switching to a manual driving mode of an autonomous vehicle allowing stable transition to the manual driving mode and prevention of collision accidents includes performing motor drive control of a motor controller and braking control of a braking controller according to a command of an autonomous driving controller in a complex manner, when there is a risk of a collision accident caused by a difference between a target yaw rate of the autonomous vehicle and an actual yaw rate of the autonomous vehicle in a transition section from an autonomous driving mode to a manual driving mode during turning of the autonomous vehicle.

Abstract: A control method for monitoring and responding to hacking into a vehicle, which may monitor whether hacking is performed by cross-checking preset check values for each ID with each other in a state where a plurality of controllers mounted in an autonomous vehicle is connected like a blockchain, and response-control the vehicle in a safe state upon determining that a specific controller is hacked as a result of monitoring.

Abstract: A method of emergency braking of a vehicle includes: displaying a brake button in a vehicle; determining pre-touch information on a distance before the brake button is touched by a user; determining post-touch information on a distance after the brake button is touched; and performing any one of a first brake control in which general braking is performed according to the degree of the pressing of the brake button and braking force is added from a first time point after the brake button is pressed, a second brake control in which the general braking is performed and braking force is added from a second time point that is after the first time point, and a third brake control in which the general braking is performed according to the pre-touch information and the post-touch information.

Abstract: In a braking control method of responding to sensor failure for autonomous vehicles, when a braking-related sensor, such as a G sensor or a braking hydraulic sensor, has failed while driving of an autonomous vehicle, the host vehicle requests a nearby another autonomous vehicle determine a deceleration of the host vehicle and transmit deceleration information to the host vehicle. The host vehicle accurately determines a braking hydraulic pressure based on the deceleration information received from the aid vehicle and apply the accurate braking hydraulic pressure to a braking device. In the present manner, even in the case in which it is difficult to convert the vehicle to manual driving, the host vehicle is able to drive to a destination or a safe place.

Abstract: A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.