Hyundai Motor Company

Kia Corporation

Kia Motors Corporation

Tae Dong Oh

Sung Woo Choi

Wan Jae Lee

Hae Ryong Lee

A vehicle includes a position recognition module that creates position information, a road information combining module configured to create first precise map information including a driving route of the vehicle, an object combining module that creates second precise map information including a driving route of a surrounding vehicle around the present vehicle, a lane link determination module that selects, from the second precise map information, a lane link at which a first lane and a second lane intersect or join each other, a target determination module configured to determine a target vehicle, a pass priority determination module that determines a pass priority at which each of the present vehicle and the target vehicle passes through the lane link, an object route creation module that creates a driving route of the target vehicle, and an adaptive route determination module that determines an adaptive driving route of the present vehicle.

Vehicle determining a driving route based on pass priority and a method for operating the vehicle

Disclosed are an apparatus for controlling a vehicle, a system including the apparatus, and a method for controlling the apparatus. The apparatus includes: a reference lane calculator to calculate a reference lane based on a traveling condition of the vehicle; a target determining device to determine a target of interest based on the reference lane and a predicted path of an object around the vehicle; and a control parameter calculating device to calculate a control parameter of the vehicle based on a traveling state of the target of interest.

Apparatus for controlling a vehicle, a system having the same, and a method for the same

An apparatus for controlling a vehicle includes a memory, a network interface, and a processor that determines whether the vehicle is in a bypass situation in which the vehicle has to bypass, calculates a plurality of bypass paths capable of replacing a previously set travel path in the bypass situation, evaluates the plurality of bypass paths, selects one bypass path based on the evaluation of the plurality of bypass paths, and performs control on the vehicle such that the vehicle travels along the selected bypass path.

Apparatus and method for controlling a vehicle

An autonomous driving control apparatus includes a sensor device obtaining information around an autonomous vehicle and including a plurality of sensors, a memory storing information about a high definition map around the autonomous vehicle, and a controller classifying the sensors into at least one sensor set based on the information around the autonomous vehicle and the information about the high definition map, using a sensor set classification table, monitoring a computational resource utilization rate and a resource occupancy rate of the memory, calculating a determiner input drop rate and determining whether there is an available resource, using the monitored computational resource utilization rate and the monitored resource occupancy rate, determining whether to additionally allocate at least one determiner using the determiner input drop rate and whether there is the available resource, and changing an autonomous driving determination period.

Autonomous driving control apparatus and method thereof

Disclosed are an autonomous driving control apparatus for controlling autonomous driving based on feature points of another vehicle, and a method thereof. The autonomous driving control apparatus may obtain information about a surrounding object, may extract one or more feature points corresponding to the object through the information about the surrounding object, may determine whether there is a risk of collision with the surrounding object based on the extracted feature point, and may control autonomous driving of the autonomous vehicle in consideration of the surrounding object having the risk of collision with the autonomous vehicle.

Apparatus for controlling autonomous driving and method thereof

The present disclosure relates to a vehicle and associated method capable of effectively responding to a cut-in of a nearby vehicle in various road conditions. The method includes obtaining driving situation information; drawing an integrated lane by selectively applying one of a lanelink, a laneside, or a point level path (PLP) based on the obtained driving situation information; determining a cut-in target based on the integrated lane and a predicted path of each of at least one nearby vehicle; calculating a control point to be followed for driving control of an ego vehicle based on an intersection of a predicted path of the cut-in target and the integrated lane; generating a speed profile and a driving path based on the calculated control point; and performing driving control based on a parameter corresponding to the speed profile and the driving path.

Vehicle and method of controlling cut-in response

A control system of an autonomous vehicle for performing control for effective calculation by parallelizing operations between a plurality of modules of the autonomous vehicle includes the plurality of modules arranged in the autonomous vehicle and configured to perform a connective operation, and a module scheduling system configured to monitor operations of the plurality of modules, to parallelize the plurality of modules using an additional thread, and to control the plurality of modules to aperiodically operate using a pipelining method, and thus, processing capability per hour of a plurality of modules may be optimized by controlling parallel processing of the plurality of modules, and when an entire logic calculation period is longer than a sensor input period, an error due to delay that occurs in a data processing procedure between the modules is overcome.

Control system of autonomous vehicle and control method of autonomous vehicle

An autonomous valet parking method includes: activating an automated valet parking procedure; determining, by a parking infrastructure, a plurality of guide route candidates leading from a pickup zone to a target position; determining, by the parking infrastructure, weighting factors for the plurality of guide route candidates; selecting, by the parking infrastructure, one guide route candidates among the plurality of guide route candidates as a guide route to the target position; transmitting the target position and the guide route to the vehicle; performing, by the vehicle, autonomous driving to the target position along the guide route; performing, by the vehicle, autonomous parking at the target position, and finishing the automated valet parking procedure.

System, method, infrastructure, and vehicle for automated valet parking

An embodiment method for controlling driving of a vehicle includes collecting driving environment information including drive lanes and positions of a host vehicle and an object on a periphery of the host vehicle, generating virtual integrated lines based on a lane link, a lane side or a control path included in the driving environment information, extracting a target candidate group by determining a position of the object based on the virtual integrated lines, selecting a control target based on position relations between the virtual integrated lines and contour points of the target candidate group, calculating a control point to be tracked, and controlling driving of the host vehicle based on the control point.

Apparatus and method for controlling driving of vehicle

A biased driving system and a biased driving method are capable of controlling biased driving of a vehicle in consideration of host vehicle location recognition accuracy, nearby vehicle risk, driving style, road curvature, and road shape. The biased driving system includes a control parameter creation unit configured to extract an object causing biasing of a host vehicle using converged object information, which is map information including location and speed of a vehicle around the host vehicle, to create an imaginary line of the extracted object by reflecting at least one of risk of a nearby vehicle, location recognition accuracy, driving style of a driver of the host vehicle, road curvature, or road shape, and to create a control parameter using the imaginary line.

Biased driving system and biased driving method utilizing lane and road shape information

An apparatus for calculating a driving path area of a vehicle including a tractor part and a trailer part and a method thereof are provided. A sensor device obtains information about periphery of the vehicle. A processor calculates a drivable area with regard to a road structure identified based on at least one of the information about the periphery of the vehicle or information about a map and calculates one or more driving paths of the tractor part, based on the calculated drivable area. The apparatus for calculating the driving path area of the vehicle accurately determines a risk of a predicted driving path to improve stability of autonomous driving.

Apparatus for calculating driving path area of vehicle and method thereof

A device for controlling a vehicle may include a sensor that senses an object around the vehicle and acquires travel information of the vehicle, and a controller that creates an integrated line corresponding to a road where the vehicle is traveling, and sets a region of interest corresponding to the object based on the integrated line, and changes the region of interest based on the travel information of the vehicle.

Device and method for controlling vehicle

A system, method, infrastructure, and vehicle for automated valet parking are provided. The method includes initiating an automated valet parking procedure for a vehicle, providing the vehicle with a target position and a first guide route leading to the target position, detecting an unexpected incident based on situation information, and providing the vehicle with a second guide route to deal with the unexpected incident.

An apparatus and method are provided for controlling autonomous driving of a vehicle which may derive predicted paths of a pedestrian and a two-wheel vehicle during autonomous driving of the vehicle so as to minimize accidents. The method includes calculating first height information allocating a first gradient that descends in a proceeding direction of objects, including a vehicle and a pedestrian, from respective positions of the objects based on dynamic information of the objects, calculating second height information allocating a second gradient based on a probability that the pedestrian will occupy infrastructure, calculating final height information by fusing the first height information and the second height information, generating a predicted path of the pedestrian, determining a driving strategy of a host vehicle based on a predicted path of the host vehicle and the predicted path of the pedestrian.

Apparatus and method for controlling autonomous driving of vehicle

A driving control apparatus and method may include collecting driving information related to a subject vehicle, wherein the driving information related to the subject vehicle includes a driving lane and a vehicle width of the subject vehicle, and driving information related to another vehicle, wherein the driving information related to another vehicle includes a driving lane and a vehicle width of at least one another vehicle around the subject vehicle, generating one or more imaginary lines indicating positions in a corresponding driving lane of the another vehicle based on the driving information related to the another vehicle, determining a deflection value by which the subject vehicle needs to be deflected in the driving lane of the subject vehicle based on the imaginary line, and determining a driving path of the subject vehicle based on the determined deflection value.

Growing community of inventors

Suwon-si, South Korea

Tae Dong Oh