Abstract: The present disclosure provides a system for recognizing a position of a vehicle including: a lane-based position recognition device configured to extract correction information about a heading angle and a lateral position of the vehicle by comparing measured lane information with lane information on an accurate map; a LiDAR-based position recognition device that extracts correction information about a position of the vehicle by detecting an area in consideration of surrounding vehicles and obstacles measured through a LiDAR sensor; and a position assemble device configured to assemble a position based on the correction information about the heading angle and the lateral position of the vehicle, correction information about a heading angle, a longitudinal position and a lateral position of the vehicle from the LiDAR sensor, and correction information about a heading angle, a longitudinal position and a lateral position of the vehicle from GPS.

Abstract: An apparatus for preventing a pedestrian collision accident, a system having the same, and a method thereof are provided. The apparatus includes a pedestrian sensing unit that senses a pedestrian moving into a dangerous area and calculates velocity and direction information of the pedestrian. A communication unit transmits the velocity and direction information of the pedestrian to a surrounding vehicle. A time-to-collision (TTC) calculating unit calculates a TTC using velocity and direction information of a subject vehicle and second velocity and direction information of the pedestrian, when the TTC calculating unit receives the second velocity and direction information of the pedestrian from another vehicle. A controller outputs based on the TTC a warning to a driver of the subject vehicle or the pedestrian.

Abstract: The present disclosure provides a lane estimating apparatus and method. The apparatus includes: a lane determiner, an obstacle position calculator, a vehicle position corrector, and a lane estimator. The lane determiner compares a first lane detected by a first sensor with a lane on an actual road or a second lane on a local map to determine reliability of the first lane. The obstacle position calculator detects, when the reliability of the detected first lane is less than a preset reference, a first obstacle in the vicinity of a vehicle and a second obstacle on the local map, and calculates a difference between slopes and positions of straight lines extracted from the first obstacle and the second obstacle. The vehicle position corrector corrects a heading direction and a position of the vehicle based on the difference between the slopes and positions of the straight lines. In addition, the lane estimator estimates a driving lane on the local map.

Abstract: An apparatus and method for controlling a vehicle speed based on information about forward vehicles that travel in the same lane may be acquired using Vehicle to Everything (V2X) communications in a cooperative adaptive cruise control (CACC) system. The CACC system includes a communication unit receiving vehicle information from neighboring vehicles using V2V communications; an information collection unit collecting vehicle information of the neighboring vehicles and the subject vehicle using sensors; and a control unit determining a forward vehicle and a far-forward vehicle using the sensors, selecting first and second target vehicles for being followed by the subject vehicle based on the vehicle information of the forward vehicle and the far-forward vehicle and the vehicle information of the neighboring vehicles, and controlling the driving speed of the subject vehicle based on speed information of the first and second target vehicles.

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 adaptive cruise control apparatus includes a sensor device for acquiring information on vehicles around a subject vehicle including information on a distance between a forward vehicle and the subject vehicle, and a controller for calculating an acceleration of the subject vehicle based on the information on vehicles around the subject vehicle, determining a traffic condition around the subject vehicle based on the information on vehicles around the subject vehicle, limiting the acceleration of the subject vehicle according to the determined traffic condition, and controlling a power train of the subject vehicle according to the limited acceleration.

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: A steering control method and device for autonomous vehicles is provided. The steering control method includes sensing traffic lanes on a road on which a vehicle is being driven and deriving a vanishing point positioned on lines extending from the traffic lanes. A sensitivity of a steering angle that corresponds to a vertical coordinate of the vanishing point in a matrix and an initial steering angle that corresponds to a horizontal coordinate are then determined. Further, a steering control value that corresponds to the initial steering angle and the sensitivity of the steering angle are determined.

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 position coordinate is calculated of the surrounding vehicle measured by the reference of the traveling vehicle.

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: 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: An apparatus and method for recognizing a driving field of a vehicle are provided. The apparatus includes a sensor that is configured to sense a location of a vehicle driving on a road and sense whether an object is adjacent to the vehicle. In addition, a controller is configured to detect whether the object is present and a lane of the road on which the vehicle is being driven is changed to detect a final lane candidate group on which the vehicle is positioned. The final lane candidate group is then displayed by the controller.

Abstract: An apparatus and method for managing failure in an autonomous navigation system are provided. The method includes collecting, by a controller, failure information in the autonomous navigation system and a monitoring a driver condition. The controller is configured to collect the failure information in the autonomous navigation system, and determine whether to switch control from the autonomous navigation vehicle to a manual driving mode based on the driver condition.

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: Disclosed herein is a method of recognizing the location of a current lane in which a vehicle is traveling, using a radar and an imaging device. The method includes: detecting the locations of the fixed objects using an object detector; capturing a photograph of the road surface ahead using an imaging device; calculating, by a controller, the entire width of a traveling road based on the locations of the fixed objects at the left side and the right side; calculating, by the controller the width of a traveling lane from the photograph of the road surface; and calculating, by the controller, the lane in which the vehicle is traveling based on the calculated width of the traveling lane and the entire width of the traveling road.

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: A method of measuring a position of a vehicle using a cloud computing includes obtaining surrounding information according to a driving of the vehicle and driving information of the vehicle. The obtained surrounding information and the driving information of the vehicle are transmitted to a server which is remotely located from the vehicle and equipped with map data. A position of the vehicle is calculated through the surrounding information and the driving information of the vehicle by the server. The calculated position of the vehicle is transmitted to the vehicle. The calculated position of the vehicle is outputted.

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.