Abstract: A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.

Abstract: An apparatus and method for detecting an object on a road are capable of enhancing performance of a driving environment recognition system of a vehicle by detecting a size and a position of an object on a road with high accuracy on the basis of radar and lidar data respectively obtained using a radar sensor and a lidar sensor installed in the vehicle.

Abstract: A vehicle for supporting an object processing includes a lidar sensor configured to collect multi-layer data corresponding to sensor information for a lateral surface for each vertical interval. A controller is configured to classify objects by clustering each layer for the multi-layer data, extract contours and shapes of the objects, and then control a convergence of the objects based on a calculated value of a Mahalanobis distance between the clustered objects, and a method for an object processing.

Abstract: An apparatus and method for identifying surrounding vehicles is provided. The apparatus includes a sensor that measures position coordinates of a first surrounding vehicle and a yaw rate and a speed of a subject vehicle and a V2V communication unit that receives a coordinate history and a speed from the plurality of surrounding vehicles. Additionally, a controller generates a traveling trajectory and a speed pattern as first identification information by applying accumulated behaviors of the subject vehicle to the position coordinates of the first surrounding vehicle and calculate each traveling trajectory and speed pattern as n-th identification information based on the coordinate history and the speed received via the V2V communication unit.

Abstract: An apparatus for compensating for a beam angle of a multi-layer LiDAR includes: a beam angle calculation unit configured to calculate a distance d calculated by using ground data detected by a ground data detection unit and a beam angle of the multi-layer LiDAR by using a mounting height of the multi-layer LiDAR stored in a storage unit. When the beam angle calculated by a beam angle calculation unit is in a threshold range, a beam angle selection unit selects the calculated beam angle as the beam angle, when a beam angle compensation unit compensates for the initial beam angle by using the beam angle selected by the beam angle selection unit.

Abstract: An apparatus and a method are provided for recognizing driving environment for an autonomous vehicle. The apparatus includes a controller configured to receive navigation information from a satellite navigation receiver. The controller is further configured to receive map data from a map storage and image data from an image sensor regarding captured images from around a vehicle and distance information from a distance sensor regarding sensed objects positioned around the vehicle. The controller is also configured to determine a fusion method for information measured by the image sensor and the distance sensor based on a receiving state of the satellite navigation receiver and precision of the map data to recognize the driving environment.

Abstract: A system and method for filtering LiDAR data is provided. The system includes a LiDAR data collector that is configured to collect the LiDAR data from a LiDAR and store the LiDAR data in a matrix structure. A noise point determiner is configured to determine whether a first filtering condition for determining whether a point within a predetermined reference distance in the LiDAR data is present, a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less, and a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied.

Abstract: An apparatus and method for recognizing a vehicle. The apparatus includes a sensor configured to provide point cloud data corresponding to a front object detected by using a LiDAR; a shape determiner configured to determines a shape corresponding to the front object by analyzing the point cloud data provided by the sensor; a receiving sensitivity analyzer configured to analyze a receiving sensitivity change corresponding to each point of the point cloud data provided by the sensor based on the shape of the vehicle; a decider configured to decide whether the front object is a vehicle according to the shape corresponding to the front object and the receiving sensitivity change corresponding to points of the point cloud; and a detector configured to recognize and detect the front object as the vehicle based on the result decided by the decider.

Abstract: A system for estimating a lane includes a vehicle information collector configured to receive coordinate information of surrounding vehicles and vehicle information; a surrounding vehicle tracker configured to track the surrounding vehicles; an own vehicle behavior calculator configured to calculate behavior information of an own vehicle by calculating a change in a location and a change in a heading angle of the own vehicle and generate coordinate history information of the surrounding vehicles using the behavior information of the own vehicle; a driving trajectory restorer configured to restore driving trajectories of the surrounding vehicles by applying the coordinate history information to a curve fitting technique; and a lane estimator configured to estimate the lane using the restored driving trajectories.

Abstract: An apparatus and a method are provided for recognizing driving environment for an autonomous vehicle. The apparatus includes a controller configured to receive navigation information from a satellite navigation receiver. The controller is further configured to receive map data from a map storage and image data from an image sensor regarding captured images from around a vehicle and distance information from a distance sensor regarding sensed objects positioned around the vehicle. The controller is also configured to determine a fusion method for information measured by the image sensor and the distance sensor based on a receiving state of the satellite navigation receiver and precision of the map data to recognize the driving environment.

Abstract: A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.

Abstract: There are provided an apparatus and method for generating a global path for an autonomous vehicle. The apparatus for generating a global path for an autonomous vehicle includes a sensor module including one or more sensors installed in the vehicle, a traffic information receiver configured to receive traffic information through wireless communication, a path generator configured to generate one or more candidate paths based on the traffic information, a difficulty evaluator configured to evaluate a difficulty of driving in the one or more candidate paths in each section of the one or more candidate paths using recognition rates of the one or more sensors and the traffic information, and an autonomous driving path selector configured to finally select an autonomous driving path by evaluating the one or more candidate paths based on the evaluation of the difficulty of driving.

Abstract: A vehicle positioning apparatus and method are provided that are capable of more accurately measuring the position of a traveling vehicle without interoperating with a DGPS. The method includes calculating a position of the traveling vehicle based on coordinates of the respective GPS satellites shared by a surrounding vehicle and the traveling vehicle. In addition, a positon coordinate is calculated of the surrounding vehicle measured by the reference of the traveling vehicle.

Abstract: An apparatus for a self localization of a vehicle includes a sensor unit, a landmark detector, a landmark recognizer, and a location estimator. The sensor includes at least two sensors and is configured to measure information on environment around the vehicle using each of the at least two sensors. The landmark detector is configured to detect landmark information based on data measured by each sensor. The landmark recognizer is configured to selectively combine landmark information detected based on data measurement of at least one of the at least two sensors to recognize a landmark and reflect fused landmark information to update a probability distribution. The location estimator is configured to use the probability distribution updated by the landmark recognizer to estimate a self location of the vehicle.

Abstract: A technique for controlling power for V2X communication is provided.

Abstract: A vehicle for supporting an object processing includes a lidar sensor configured to collect multi-layer data corresponding to sensor information for a lateral surface for each vertical interval. A controller is configured to classify objects by clustering each layer for the multi-layer data, extract contours and shapes of the objects, and then control a convergence of the objects based on a calculated value of a Mahalanobis distance between the clustered objects, and a method for an object processing.

Abstract: An apparatus for adjusting a monitoring area of a remote monitor according to the present disclosure comprises a storage for storing a viewing angle and an irradiation angle of the remote monitor depending on a type of a road. A road determiner determines the type of the road on which a vehicle drives. A controller searches the viewing angle and the irradiation angle corresponding to the type of the road determined by the road determiner in the storage. A viewing angle adjuster sets the viewing angle searched by the controller as a reference viewing angle. An irradiation angle adjuster sets the irradiation angle searched by the controller as a reference irradiation angle.

Abstract: An apparatus for compensating for a beam angle of a multi-layer LiDAR includes: a beam angle calculation unit configured to calculate a distance d calculated by using ground data detected by a ground data detection unit and a beam angle of the multi-layer LiDAR by using a mounting height of the multi-layer LiDAR stored in a storage unit.

Abstract: An apparatus and method for recognizing a vehicle. The apparatus includes a sensor configured to provide point cloud data corresponding to a front object detected by using a LiDAR; a shape determiner configured to determines a shape corresponding to the front object by analyzing the point cloud data provided by the sensor; a receiving sensitivity analyzer configured to analyze a receiving sensitivity change corresponding to each point of the point cloud data provided by the sensor based on the shape of the vehicle; a decider configured to decide whether the front object is a vehicle according to the shape corresponding to the front object and the receiving sensitivity change corresponding to points of the point cloud; and a detector configured to recognize and detect the front object as the vehicle based on the result decided by the decider.

Abstract: A driving mode changing method and apparatus of an autonomous navigation vehicle that allows a driver to stably operate the autonomous navigation vehicle. The autonomous navigation vehicle may be stably operated by mounting an apparatus (a touch pad, a joystick, or the like) to operate the autonomous navigation vehicle on seats (a passenger seat and a rear seat) other than a driver seat of the autonomous navigation vehicle and providing various information (a near around view, a far around view, a critical level, vehicle information, and the like) to drive the autonomous navigation vehicle.