Abstract: An image sensor includes a plurality of unit pixels, each including: a substrate including first and second sides which are opposite to each other, a photoelectric conversion layer in the substrate, and a wiring structure on the first side of the substrate. The wiring structure may include: a first capacitor, a second capacitor spaced from the first capacitor, a plurality of edge vias arranged along edges of the unit pixel, and a plurality of central vias interposed between the first capacitor and the second capacitor.

Abstract: A vehicle includes a camera provided to obtain image data, radar provided to obtain radar data, Lidar provided to obtain Lidar data, and a controller configured to process the image data, the radar data, and the Lidar data to generate a first sensor fusion track, where the controller calculates reliability of at least one sensor in which an event does not occur among a plurality of sensors including the camera, the radar and the Lidar when the event for the sensor is detected, and changes from the first sensor fusion track to a second sensor fusion track based on the at least one sensor when the reliability is greater than or equal to a predetermined threshold, and where the controller is configured to control a braking amount or a deceleration amount of the vehicle based on the first sensor fusion track or the second sensor fusion track.

Abstract: A vehicle is equipped with a lidar installed on the vehicle to secure an external field of view of the vehicle and configured to obtain lidar data for detecting an object in the external field of view. The vehicle includes a controller including at least one processor configured to process the lidar data and perform an avoidance control or a warning control based on the processed results. In particular, the controller is further configured to generate a plurality of virtual lines in a moving direction of the vehicle within a full width of the vehicle, obtain a plurality of contour points of the object by processing the lidar data, and determine a collision risk for the avoidance control or the warning control based on the number of crossing points between the plurality of virtual lines and the plurality of contour points.

Abstract: A vehicle includes a camera configured to capture an outside of the vehicle, a radar configured to detect an object outside the vehicle, and a controller configured to acquire a virtual path of the vehicle based on image data output from the camera and radar data output from the radar and perform forward collision-avoidance braking based on maintaining a time in which the object intersects the virtual path of the vehicle.

Abstract: A vehicle includes a front camera, a front radar, a corner radar, a corner LiDAR, and a controller configured to generate a first fusion mode by processing image data and radar data or to generate a second fusion mode by processing radar data and LiDAR data, wherein the controller changes the first fusion mode to the second fusion mode when the controller detects an abnormality of the front camera while performing avoidance control of the vehicle based on the first fusion mode, and performs the avoidance control based on the second fusion mode for a predetermined time period.

Abstract: A vehicle includes a camera obtaining image data for detecting a target in the external field of view, a radar obtaining radar data for detecting the target, and a controller configured to process the image data and the radar data, and controlling at least one of braking and steering devices based on a result of the processing, wherein the controller is configured to detect a target in a lane adjacent to the vehicle, and obtain a first index based on a lateral velocity of the target, a second index based on a heading angle of the target, and a third index based on a possibility of collision of the vehicle with the target, and when each of the first to third indexes corresponds to a predetermined output value, detect a cut-in attempt of the target, and control at least one of the braking and steering devices for adjusting an avoidance control timing for the target.

Abstract: A vehicle includes: a camera obtaining an external view of the vehicle and acquiring illuminance data; a radar detecting a target object located outside the vehicle and acquiring radar data; and a controller including at least one processor for processing the illuminance data acquired by the camera and the radar data acquired by the radar.

Abstract: The present disclosure relates to a vehicle and a method of controlling the same, and more particularly, to a technique of increasing a reliability of a collision avoidance control system by performing a vehicle front collision determination and a vehicle side collision determination by different controllers.

Abstract: A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.

Abstract: The present disclosure relates to a vehicle and a method of controlling the same, and more particularly, to a technique of increasing a reliability of a collision avoidance control system by performing a vehicle front collision determination and a vehicle side collision determination by different controllers.

Abstract: A vehicle includes: a camera obtaining an external view of the vehicle and acquiring illuminance data; a radar detecting a target object located outside the vehicle and acquiring radar data; and a controller including at least one processor for processing the illuminance data acquired by the camera and the radar data acquired by the radar.

Abstract: A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.

Abstract: A vehicle having a system for detecting another vehicle is disclosed. The vehicle includes a vehicle sensor configured to sense a steering angle and a yaw rate of the vehicle. The vehicle also has a computing system configured to detect another vehicle within an adjustable angular range from a point of the vehicle. The angular range for detecting another vehicle is adjusted using at least one of the vehicle's current steering angle and yaw rate.

Abstract: A vehicle turning in an intersection includes a speed detector configured to detect a driving speed of the vehicle; a sensor configured to determine a cross time between the vehicle and a target vehicle driving in the intersection, and a controller configured to calculate a turning radius of the vehicle in the intersection, based on a minimum turning radius of the intersection, configured to estimate a time to collision between the vehicle turning in the intersection and the target vehicle and a time to collision avoidance allowing the vehicle to pass cross the target vehicle without colliding with the target vehicle, based on at least one of the driving speed of the vehicle and the calculated turning radius, and configured to transmit a warning signal by estimating that the vehicle collides with the target vehicle when the determined cross time is equal to or more than the estimated time to collision and equal to or less than the estimated time to collision avoidance.

Abstract: A vehicle turning in an intersection includes a speed detector configured to detect a driving speed of the vehicle; a sensor configured to determine a cross time between the vehicle and a target vehicle driving in the intersection, and a controller configured to calculate a turning radius of the vehicle in the intersection, based on a minimum turning radius of the intersection, configured to estimate a time to collision between the vehicle turning in the intersection and the target vehicle and a time to collision avoidance allowing the vehicle to pass cross the target vehicle without colliding with the target vehicle, based on at least one of the driving speed of the vehicle and the calculated turning radius, and configured to transmit a warning signal by estimating that the vehicle collides with the target vehicle when the determined cross time is equal to or more than the estimated time to collision and equal to or less than the estimated time to collision avoidance.

Abstract: A vehicle having a system for detecting another vehicle is disclosed. The vehicle includes a vehicle sensor configured to sense a steering angle and a yaw rate of the vehicle. The vehicle also has a computing system configured to detect another vehicle within an adjustable angular range from a point of the vehicle. The angular range for detecting another vehicle is adjusted using at least one of the vehicle's current steering angle and yaw rate.

Abstract: An autonomous emergency braking apparatus comprises: a relative vehicle information collector that collects relative vehicle information regarding a relative vehicle using a plurality of sensors in a vehicle; a self vehicle information collector that collects self vehicle information regarding a self vehicle using the plurality of sensors; and a processor configured to calculate and compare a first time for a collision avoidance of the self vehicle and a second time for a collision avoidance of the relative vehicle based on the relative vehicle information and the self vehicle information, and determine a braking point of time and a required braking force based on the comparison of the first time and the second time.

Abstract: An autonomous emergency braking apparatus comprises: a relative vehicle information collector that collects relative vehicle information regarding a relative vehicle using a plurality of sensors in a vehicle; a self vehicle information collector that collects self vehicle information regarding a self vehicle using the plurality of sensors; and a processor configured to calculate and compare a first time for a collision avoidance of the self vehicle and a second time for a collision avoidance of the relative vehicle based on the relative vehicle information and the self vehicle information, and determine a braking point of time and a required braking force based on the comparison of the first time and the second time.

Abstract: A vehicle collision avoidance apparatus and method are provided. The method includes identifying, by a controller, whether an obstacle is a vehicle or a pedestrian and collecting information required for calculating a minimum braking time and a minimum steering time. The controller is configured to calculate the minimum braking time to avoid a collision with the obstacle and the minimum steering time to avoid a collision with an obstacle. In addition, the a controller is configured to sequentially operating braking and steering of a traveling vehicle based on the minimum steering time depending on a type of identified obstacle.

Abstract: An apparatus for detecting a collision object of a vehicle senses one or more relative vehicles positioned in front of an own vehicle through sensors provided in the own vehicle and collects relative vehicle information on the sensed relative vehicles, calculates relative positions of the relative vehicles when the own vehicle and the relative vehicles arrive at the same line in consideration of prediction paths of the own vehicle and the relative vehicles, selects a collision type depending on relative velocity relationships and access angles of the relative vehicles, calculates a collision position between the own vehicle and the relative vehicles in the selected collision type, calculates collision information based on the collision position, and selects a collision object among the one or more relative vehicles based on the collision information.