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 autonomous driving control method of a vehicle is provided. The method includes recognizing accuracy of a map within the vehicle and determining an available autonomous driving level. Sensor coverage of the vehicle is recognized and an available autonomous driving level for each section among the available autonomous driving levels is determined. A path with autonomous driving level indicated thereon among driving paths is then recommended according to a destination set in the map, and autonomous driving level calculation information is updated in real-time according to a selected path and autonomous information is provided to a driver.

Abstract: A deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.

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: An apparatus for controlling narrow road driving of a vehicle includes: an image transform unit generating a depth map using depth information of an object in a front image of a road on which the vehicle travels and generating a height map of the front image by transforming the generated depth map; a map analysis unit recognizing the object and calculating a driving allowable area of the road based on the generated height map; a determination unit determining whether the road is a narrow road based on the calculated driving allowable area and, when the road is determined to be the narrow road, determining whether the vehicle is able to pass through the narrow road; and a signal processing unit controlling driving of the vehicle on the narrow road based on the determination of whether the vehicle is able to pass through the narrow road.

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: A lane changing apparatus of an autonomous vehicle includes a lane recognizer, a vehicle information collector, control information, calculator, a controller and a steering apparatus. The lane recognizer is configured to recognize a lane of a road on which the vehicle is driving and extract road information from the recognized lane. The vehicle information collector is configured to collect vehicle information by a variety of sensors installed in the vehicle. The control information calculator is configured to calculate control information for changing the lane by using the vehicle information and the road information. The controller is configured to control a yaw rate of the vehicle based on the control information upon changing the lane. The steering apparatus is configured to change a moving direction of the vehicle according to a control of the controller.

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 lane change control apparatus includes a lane information extractor configured to obtain lane information for a driving lane by using image information for a lane. A lane changeable time calculator is configured to calculate a lane changeable time by using speed information of an own vehicle and information for peripheral vehicles obtained from sensing apparatuses installed in the vehicle. A reference yaw rate generator is configured to determine a lane change time by using the lane changeable time and speed information and generate a reference yaw rate symmetrically changed on a time axis during the lane change time by using the lane change time and lane information. A reference yaw rate tracker is configured to control an operation of the own vehicle so as to track the reference yaw rate.

Abstract: A lane changing apparatus of an autonomous vehicle includes a lane recognizer, a vehicle information collector, a control information calculator, a controller and a steering apparatus. The lane recognizer is configured to recognize a lane of a road on which the vehicle is driving and extract road information from the recognized lane. The vehicle information collector is configured to collect vehicle information by a variety of sensors installed in the vehicle. The control information calculator is configured to calculate control information for changing the lane by using the vehicle information and the road information. The controller is configured to control a yaw rate of the vehicle based on the control information upon changing the lane. The steering apparatus is configured to change a moving direction of the vehicle according to a control of the controller.

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.