Hyundai Motor Company

Kia Motors Corporation

Ajou University Industry-Academic Cooperation Foundation

Kia Corporation

Aptiv Korea LLC

Su Min Jo

Hoon Ki Lee

Seul Ki Han

Woo Young Lee

Sang Won Lee

Sung Woo Lee

Min Kyun Yoo

Sang Bok Won

Uk Il Yang

Jae Pil Hwang

Ji Eun Won

Bo Young Yun

Hyung Sun Jang

Hyok Jin Chong

Jong Gwan Lee

Bong Seop Song

Seung Joon Lee

Kyoung Jun Lee

Dong Gu Lee

Min Ho Park

Bong Sob Song

Su Min Kim

Byung Gi Hong

Soo Bin Jeon

Gi Hyun Seo

Kyu Ho Park

Jun Kwon Jee

An embodiment sensor information fusion method includes estimating, by a host vehicle, reliability of shared sensor fusion information received from a neighboring vehicle, the shared sensor fusion information being generated by the neighboring vehicle, and generating, based on the estimated reliability, fusion track information of an object located near the host vehicle or the neighboring vehicle using host vehicle sensor fusion information generated by the host vehicle and the shared sensor fusion information.

Method and apparatus for fusing sensor information and recording medium storing program to execute the method

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

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

Growing community of inventors

Hwaseong-si, South Korea

Su Min Jo