Abstract: 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.

Abstract: A method for sensor fusion for a vehicle, includes determining a first point corresponding to a closest point of a target object from the vehicle with respect to a potential collision based on a LiDAR track thereof and a heading of the vehicle, determining a second point corresponding to a closest point of the target object from the vehicle with respect to a potential collision based on a sensor fusion track, and updating the sensor fusion track based on the first point and the second point.

Abstract: A method for sensor fusion in a vehicle comprises generating a track for a target vehicle based on data acquired through a surround view monitoring camera of the vehicle, acquiring a plurality of pieces of first point data for an object around the vehicle, identifying a plurality of pieces of second point data associated with the track from among the plurality of pieces of first point data, and updating a sensor fusion track generated for the target vehicle using the plurality of pieces of second point data.

Abstract: 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.

Abstract: An embodiment sensor information fusion method includes acquiring a first sensor track from a first sensor mounted in a vehicle and setting a reference sector based on the first sensor track, selecting at least one target track included in the reference sector, and comparatively analyzing an angle between the at least one target track and the first sensor track and generating a fusion track through fusion with the first sensor track based on an analysis result value.

Abstract: A sensor information fusion method of an embodiment includes selecting target tracks having distances from a reference track within a predetermined distance from among tracks obtained by a plurality of sensors, and selecting a target fusion track to be fused with the reference track on the basis of sums of first calculation values calculated according to distances between the selected target tracks and the reference track and second calculation values calculated according to overlapping areas of the target tracks and the reference track.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.