Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Ajou University Industry-academic Cooperation Foundation

Aptiv Korea LLC

Bo Young Yun

Hoon Ki Lee

Uk Il Yang

Seul Ki Han

Ji Eun Won

Hyung Sun Jang

Sang Bok Won

Woo Young Lee

Min Kyun Yoo

Jae Pil Hwang

Su Min Jo

Hyok Jin Chong

Bong Seop Song

Seung Joon Lee

Sang Won Lee

Sung Woo Lee

Kyoung Jun Lee

Dong Gu Lee

Min Ho Park

Byung Gi Hong

Soo Bin Jeon

Gi Hyun Seo

Kyu Ho Park

Jun Kwon Jee

Disclosed are a track mergence module and a method by which track deletion conditions are set to be varied depending on various situations and a track corresponding to the set track deletion conditions is deleted. The track mergence module includes a track deletion condition generation and storage unit, a phenomenon determination unit and a track mergence unit. A track to be deleted may be accurately deleted by generating the track deletion conditions so as to adaptively correspond to the performance of a sensor and various situations in which a host vehicle is placed, thereby being capable of erroneous braking of the autonomously driving host vehicle.

Track mergence module and method

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

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

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

Hwaseong-si, South Korea

Bo Young Yun