Samsung Electronics Co., Ltd.

Cheolhun Jang

Dae Hyun Ji

Dokwan Oh

Jaewoo Lee

DongWook Lee

Wonju Lee

Yoonsuk Hyun

Jahoo Koo

PaulBarom Jeon

Heewon Park

Yonggonjong Park

A method with distance estimation includes detecting a pedestrian region of a pedestrian comprised in a plurality of images received from a camera; determining a static point in the detected pedestrian region; and determining a distance between the pedestrian and the camera based on the static point in each of the images and a position of the camera corresponding to each of the images.

Method and apparatus with estimation of distance between pedestrian and camera

A method and apparatus for adjusting a neural network that classifies a scene of an input image into at least one class is provided. The method generates a feature image having a size that is less than a size of an input image by applying a convolutional network to the input image, determines at least one class corresponding to the feature image, generates a class image having a size corresponding to the size of the input image by applying a deconvolutional network to the feature image, calculates a loss of the class image based on a verification class image preset with respect to the input image, and adjusts the neural network based on the loss.

Image processing method and apparatus with neural network adjustment

An object recognition method and apparatus are provided. The object recognition apparatus acquires localization information of a vehicle, acquires object information about an object located in front of the vehicle, determines a candidate region in which the object is predicted to exist in an image in front of the vehicle, based on the localization information and the object information, and recognizes the object in the image based on the candidate region.

Method and apparatus for recognizing object

Disclosed is a method and apparatus that includes acquiring a driving image; acquiring positioning information indicating a location of a vehicle; extracting map information corresponding to the positioning information; determining a regression line function corresponding to a road on which the vehicle is traveling based on the map information; detecting the linearity of the road from the driving image using the regression line function; and indicating the detected linearity.

Method and apparatus with linearity detection

Provided is a method and apparatus for operating an autonomous driving controller, the method including generating route information for the vehicle based on a rule, transitioning from an autonomous driving mode to an autonomous driving disable mode, in response to the driving route information not being generated for an amount of time greater than or equal to a threshold, tracking at least one neighboring vehicle based on data sensed by a sensor, and generating temporary driving route information based on a movement of the at least one neighboring vehicle.

Method and apparatus for operating autonomous driving controller of vehicle

A method and apparatus for controlling a vision sensor are provided. The apparatus and corresponding method are configured to predict an expected point, on a traveling path of a host vehicle, at which an illumination variation greater than or equal to a threshold is expected to occur, and determine whether the host vehicle is located within a threshold distance. The apparatus and corresponding method are also configured to control a vision sensor in the host vehicle based on the expected illumination variation in response to the host vehicle being located within the threshold distance.

Method and apparatus for controlling vision sensor for autonomous vehicle

A lane detection method and apparatus is disclosed. The lane detection apparatus may set a regions of interest (ROIs) in a forward-view image of a vehicle obtained by a camera, estimate lane pixels corresponding to a lane from each of the ROIs using a neural network-based detector, and determine a lane region in the forward-view image based on the lane pixels.

Lane detection method and apparatus

A method and apparatus to control driving of a vehicle is provided. To control driving of a vehicle, the method and apparatus obtain traffic information related to an intersection in response to a position of the vehicle being at a predetermined proximity to the intersection, and obtain driving information related to another vehicle driving in front of and in the same direction as the vehicle. the vehicle by determining whether the vehicle is to enter the intersection based on the traffic information and the driving information.

Method and apparatus for controlling driving of vehicle

A method to generate an autonomous driving route of an autonomous vehicle includes: receiving an input image of a front view captured from the autonomous vehicle; calculating a gradient between the autonomous vehicle and a ground based on the input image; and generating the autonomous driving route based on the calculated gradient.

Growing community of inventors

Pohang-si, South Korea

Cheolhun Jang