Abstract: An embodiment apparatus for controlling a vehicle includes a sensor configured to acquire surrounding information of the vehicle, a location acquisition device configured to acquire location information of the vehicle, and a controller configured to generate an autonomous driving route based on the surrounding information of the vehicle when it is determined that the vehicle is located within an operational design domain based on the location information of the vehicle, determine a first candidate lane capable of autonomous driving based on a lane width of a diverging lane and an inter-lane distance when there is at least one diverging lane, and generate the autonomous driving route based on the first candidate lane.

Abstract: An apparatus of controlling autonomous driving in a transition demand (TD) process during the autonomous driving and a method thereof are provided. A controller is configured to determine whether there is a section where it is impossible to operate autonomous driving in front of an autonomous driving route of an autonomous vehicle, during autonomous driving of the autonomous vehicle, determines a maximum speed limit while a TD is output, based on a current speed of the autonomous vehicle, outputs the TD before a predetermined distance from the section where it is impossible to operate the autonomous driving, and is configured to control a speed of the autonomous vehicle based on the maximum speed limit. The apparatus enhances a problem in which a TD is initiated from a too long distance to the section where it is impossible to operate the autonomous driving.

Abstract: An embodiment autonomous driving control apparatus includes a memory storing data and algorithms and a processor configured to execute the algorithms stored in the memory to estimate an end of an operational design domain of an autonomous driving function in advance and to calculate a distance from an end point of the operational design domain to a start point of a transition demand, wherein the transition demand is a point at which a transition demand section starts based on a current speed of a vehicle depending on a driving strategy of the transition demand section for requiring a driver to drive the vehicle and a minimum risk maneuver section.

Abstract: A vehicle running control method includes: when a junction section lane is present adjacent to a traveling lane of a host vehicle, collecting, by a processor, vehicle information of at least one vehicle traveling in the junction section lane; determining, by the processor, the possibility of cut-in of junction section lane vehicles based on the collected vehicle information and whether the traveling lane is congested; and controlling, by the processor, at least one of the traveling path or the traveling velocity of the host vehicle based on the result of determination in order to display an intention to yield.

Abstract: A method of determining a driving lane of an autonomous vehicle is provided. The method includes classifying, by an autonomous driving logic of an electronic control unit (ECU), at least one object sensed in front of the autonomous vehicle as a stationary object or a moving object. A clustering group is generated by clustering the stationary object and a boundary of an entire driving road is determined based on a position of a moving object approaching the subject vehicle among the moving objects and the clustering group. Additionally, the method includes comparing positions of a plurality of lanes based on lane widths of the lanes for travel of the subject vehicle with the boundary of the entire driving road and determining a driving lane of the subject vehicle.

Abstract: A vehicle running control method includes: when a junction section lane is present adjacent to a traveling lane of a host vehicle, collecting, by a processor, vehicle information of at least one vehicle traveling in the junction section lane; determining, by the processor, the possibility of cut-in of junction section lane vehicles based on the collected vehicle information and whether the traveling lane is congested; and controlling, by the processor, at least one of the traveling path or the traveling velocity of the host vehicle based on the result of determination in order to display an intention to yield.

Abstract: Disclosed herein is a method of recognizing a vehicle near an autonomous vehicle. The method includes, using an autonomous driving logic of an electronic control unit (ECU) extracting nearby vehicle information by sensing at least one nearby vehicle from a distance sensed at each angle within a certain angular range. The method further includes calculating an misrecognition index indicating a degree of closeness of a shape of the nearby vehicle to a shape of an exhaust gas based on the nearby vehicle information, executing an exhaust gas removal algorithm for correcting the nearby vehicle information when the misrecognition index is greater than a threshold misrecognition index, and estimating movement of the nearby vehicle after a current frame using the nearby vehicle information or the corrected nearby vehicle information obtained through the exhaust gas removal algorithm.

Abstract: A method of controlling lane change of an autonomous vehicle is provided. The method includes determining a type of a command for lane change by an autonomous driving logic of an electronic control unit (ECU) in response to the command for lane change being generated. When the command for lane change is not a specific command for lane change, attributes of each of at least one region included in a change target region is determined using information regarding the change target region. The attributes of each of the at least one region are corrected using information regarding a lane in which the autonomous vehicle is driven and a lane change region is determined from the at least one region based on the corrected attributes of each of the at least one region.

Abstract: A method of controlling lane change of an autonomous vehicle is provided. The method includes determining a type of a command for lane change by an autonomous driving logic of an electronic control unit (ECU) in response to the command for lane change being generated. When the command for lane change is not a specific command for lane change, attributes of each of at least one region included in a change target region is determined using information regarding the change target region. The attributes of each of the at least one region are corrected using information regarding a lane in which the autonomous vehicle is driven and a lane change region is determined from the at least one region based on the corrected attributes of each of the at least one region.

Abstract: Disclosed herein is a method of recognizing a vehicle near an autonomous vehicle. The method includes, using an autonomous driving logic of an electronic control unit (ECU) extracting nearby vehicle information by sensing at least one nearby vehicle from a distance sensed at each angle within a certain angular range. The method further includes calculating an misrecognition index indicating a degree of closeness of a shape of the nearby vehicle to a shape of an exhaust gas based on the nearby vehicle information, executing an exhaust gas removal algorithm for correcting the nearby vehicle information when the misrecognition index is greater than a threshold misrecognition index, and estimating movement of the nearby vehicle after a current frame using the nearby vehicle information or the corrected nearby vehicle information obtained through the exhaust gas removal algorithm.

Abstract: A method of determining a driving lane of an autonomous vehicle is provided. The method includes classifying, by an autonomous driving logic of an electronic control unit (ECU), at least one object sensed in front of the autonomous vehicle as a stationary object or a moving object. A clustering group is generated by clustering the stationary object and a boundary of an entire driving road is determined based on a position of a moving object approaching the subject vehicle among the moving objects and the clustering group. Additionally, the method includes comparing positions of a plurality of lanes based on lane widths of the lanes for travel of the subject vehicle with the boundary of the entire driving road and determining a driving lane of the subject vehicle.

Abstract: An apparatus and a method for determining careless driving are provided and determine more reliable careless driving by generating normal driving patterns using driving performance data for a reference time at the beginning of driving. In addition, careless driving patterns greater than a predetermined number are detected using the normal driving pattern and a boundary between the normal driving and the careless driving is determined using a supervised learning method. The careless driving of the driver is then determined based on the determined boundary.

Abstract: A driving concentration level calculating apparatus is provided and includes a controller configured to acquire an acceleration of a traveling vehicle and measure a relative velocity to a preceding vehicle. In addition, noise is removed from the acquired acceleration of the traveling vehicle and from the measured relative velocity to the preceding vehicle. A plurality of correlation values are calculated based on the acceleration of the traveling vehicle and the relative velocity to the preceding vehicle from which noise has been removed. In addition, the controller is configured to detect a time at which a maximum correlation value is calculated as a driving concentration level from among the calculated correlation values.

Abstract: An apparatus and a method for determining careless driving are provided and determine more reliable careless driving by generating normal driving patterns using driving performance data for a reference time at the beginning of driving. In addition, careless driving patterns greater than a predetermined number are detected using the normal driving pattern and a boundary between the normal driving and the careless driving is determined using a supervised learning method. The careless driving of the driver is then determined based on the determined boundary.

Abstract: A driving concentration level calculating apparatus is provided and includes a controller configured to acquire an acceleration of a traveling vehicle and measure a relative velocity to a preceding vehicle. In addition, noise is removed from the acquired acceleration of the traveling vehicle and from the measured relative velocity to the preceding vehicle. A plurality of correlation values are calculated based on the acceleration of the traveling vehicle and the relative velocity to the preceding vehicle from which noise has been removed. In addition, the controller is configured to detect a time at which a maximum correlation value is calculated as a driving concentration level from among the calculated correlation values.