Hyundai Motor Company

Kia Motors Corporation

Ajou University Industry-Academic Cooperation Foundation

Kia Corporation

Handong Global University Industry-Academic Cooperation Foundation

Aptiv Korea LLC

Seul Ki Han

Hoon Ki Lee

Uk Il Yang

Ji Eun Won

Hyung Sun Jang

Bo Young Yun

Su Min Jo

Sang Won Lee

Sung Woo Lee

Sang Bok Won

Woo Young Lee

Bong Seop Song

Min Kyun Yoo

Jae Pil Hwang

Hyok Jin Chong

Jong Gwan Lee

Seung Joon Lee

Kyoung Jun Lee

Dong Gu Lee

Min Ho Park

Bong Sob Song

Byung Gi Hong

Soo Bin Jeon

Gi Hyun Seo

Kyu Ho Park

Won-Sang Ra

Boyoung Jung

Jun Kwon Jee

Dahye Ham

Ui-Suk Suh

A method of simultaneously estimating a movement and shape of a target vehicle using a preliminary distribution model of a tracklet may have high reliability in estimation performance even with a change in heading of the target vehicle while being implemented in real time by setting the preliminary distribution model defined by a small number of representative tracklet appearance points using a tracklet defined in an orthogonal coordinate system and a linear correspondence relationship between a preliminary distribution model of the tracklet and a central position of the target vehicle and performing many-to-one data association between tracklet outputs. The method of simultaneously estimating the movement and shape of the target vehicle using the preliminary distribution model of the tracklet is performed by a signal processing device configured to process signals emitted from a plurality of radars mounted at a host vehicle and reflected from the target vehicle.

Method of simultaneously estimating movement and shape of target vehicle using preliminary distribution model of tracklet

The present disclosure relates to an omnidirectional sensor fusion system and method and a vehicle including the same. The omnidirectional sensor fusion system includes a sensor track processing unit configured to receive recognition information from one or more sensors to generate a sensor track, a sensor track association determination unit configured to determine, based on the generated sensor track being located at an overlapping point of sensing regions of the one or more sensors, an association between a previous sensor fusion track and the sensor track, the sensor track association determination unit further configured to change sensor track information in response to the determined association and output a sensor fusion track, a sensor fusion track tracing unit configured to trace the output sensor fusion track, and a sensor fusion track maintenance unit configured to maintain the traced sensor fusion track.

Omnidirectional sensor fusion system and method and vehicle including the same

An apparatus for predicting a concurrent lane change of multiple vehicles to prevent or minimize collision, and a vehicle using the same. The apparatus includes a subject vehicle state estimator for estimating a state of a subject vehicle based on subject vehicle information and surrounding lane state information, a surrounding vehicle state estimator for estimating a state of a surrounding vehicle based on the subject vehicle state information and surrounding vehicle information, a lane state estimator for estimating a state of a surrounding lane based on the estimated subject vehicle state information and surrounding lane information, and a lane change predictor for predicting concurrent lane change of the subject vehicle and the surrounding vehicle based on the estimated subject vehicle state information, the estimated surrounding vehicle state information and the estimated surrounding lane state information.

Apparatus and method for predicting concurrent lane change and vehicle including the same

The present invention discloses apparatus for tracking a target vehicle which tracks the target vehicle by identifying a plurality of sensor tracks output from a plurality of different kinds of sensors. The apparatus for tracking a target vehicle incudes a sensor track processing unit, a sensor track association determination unit, a sensor fusion track tracking unit, and a sensor fusion track management unit.

Apparatus and method for tracking target vehicle and vehicle including the same

The present disclosure provides an apparatus for associating sensor data in a vehicle. The apparatus includes a plurality of sensors configured to sense an external object and a processor configured to be electrically connected with the plurality of sensors. The processor is configured to obtain a sensor data set for a target located around the vehicle using the plurality of sensors, select at least a portion of sensor data included in the sensor data set based on at least one of target information, a curvature of a road where the vehicle or the target is traveling, or a type of a sensor configured to sense the target, and generate track data for the target by associating at least the portion of the sensor data.

Apparatus and method for associating sensor data in vehicle

Disclosed are an occupancy distance map (ODM) information reliability determination system and method and a vehicle using the same. The system includes a signal conversion unit configured to receive a plurality of sensing signals and to perform signal processing, a calculation unit configured to calculate state information of a nearby vehicle detected from processed signals, a sensor fusion track output unit configured to output sensor fusion track information based on the calculated state information of the nearby vehicle, an ODM output unit configured to output ODM information based on the calculated state information of the nearby vehicle, an ODM fusion unit configured to generate sensor fusion ODM information by performing sensor fusion with respect to the ODM information, and an ODM information reliability determination unit configured to determine reliability of the sensor fusion ODM information by confirming association between the sensor fusion track information and the sensor fusion ODM information.

ODM information reliability determination system and method and vehicle using the same

An apparatus and method for identifying a short cut-in vehicle, and a vehicle using the same are disclosed. The apparatus includes a signal conversion unit configured to receive and signal-process a plurality of sensing signals, a computation unit configured to compute state information of a surrounding vehicle detected from the signal-processed signal, a sensor fusion track output unit configured to output a sensor fusion track based on the computed state information of the surrounding vehicle, an occupancy distance map (ODM) output unit configured to output ODM information including a grid map corresponding to a vehicle detection region and an ODM object including a plurality of detection points based on the computed state information of the surrounding vehicle, and a cut-in vehicle identification unit configured to identify a cut-in vehicle based on the output sensor fusion track and ODM information.

Apparatus and method for identifying short cut-in vehicle and vehicle using the same

A close cut-in vehicle identification apparatus includes an information generator configured to generate sensor fusion information, estimated vehicle state information, and risk determination information based on surrounding vehicle information upon receiving the surrounding vehicle information, a feature combination generator configured to extract a plurality of features based on the sensor fusion information, the estimated vehicle state information, and the risk determination information and to combine the extracted features to generate a plurality of feature combinations, a classification learner configured to classify and learn the plurality of feature combinations depending on a weight factor, and a vehicle intention determination device configured to determine intention of a surrounding vehicle based on a classification learning result value to select an optimum feature combination corresponding to identification of the close cut-in vehicle and configured to determine a situation of the close cut-in vehicle based on the selected optimum feature combination.

Apparatus and method for identifying close cut-in vehicle and vehicle including apparatus

An apparatus and a method are capable of accurately deciding a maneuver of a surrounding vehicle. The apparatus includes a first surrounding vehicle information detector configured to obtain first surrounding vehicle information for a surrounding vehicle of a vehicle by using a front radar device. The apparatus further includes a second surrounding vehicle information detector configured to obtain second surrounding vehicle information for the surrounding vehicle by using a corner radar device. The apparatus also includes a processor configured to decide a motion of the surrounding vehicle by using the first surrounding vehicle information and the second surrounding vehicle information. The processor is also configured to decide a maneuver of the surrounding vehicle by using maneuver decision logic derived by a mechanical training technique. The processor is further configured to decide a final maneuver of the surrounding vehicle by using the two decision results.

Apparatus and method for deciding a maneuver of a nearby vehicle

Growing community of inventors

Seoul, South Korea

Seul Ki Han