Abstract: There is provided a VIL system-based autonomous driving function verification method. According to embodiments of the disclosure, a VIL system enables an autonomous vehicle to verify an autonomous driving function by interlocking with a virtual road environment in any other place, without having to go to a real test road corresponding to a simulated virtual road environment. Accordingly, an autonomous driving function can be rapidly verified based on a VIL system with respect to various virtual road environments without changing a driving place, so that speed and convenience in development of autonomous driving technology can be enhanced.

Abstract: Provided are a method and a system for generating an AI training hierarchical dataset including data acquisition context information. A GT dataset generation method according to an embodiment of the present disclosure includes: acquiring and storing vehicle data; acquiring and storing sensor data generated at a sensor installed in a vehicle; and generating and storing context information which is information regarding a context at a time when the data is acquired. Accordingly, in generating a GT descriptor, various contexts, conditions at the time when data is acquired may be made to be easily analyzed, classified on the GT descriptor through a hierarchical dataset, which hierarchically describes context information at the time when sensor data is acquired on the descriptor, so that an AI network is effectively trained, and eventually, has high recognition performance.

Abstract: Provided is a method for filtering driving paths in order to stably track a path which is generated for various purposes, such as recognizing a lane and keeping or changing the lane, or avoiding an obstacle around a road. A driving path filtering system according to an embodiment of the present disclosure includes: a position recognition unit configured to recognize a position of a vehicle; a lane recognition unit configured to recognize a lane of a road; and a path generator configured to generate a path for the vehicle to travel on, based on a result of recognizing the position and a result of recognizing the lane, and to perform path noise filtering with respect to the generated path. Accordingly, a driving path can be stabilized by removing a path noise (error) by complementally filtering a lane recognition-based path generation method and a map-based path generation method according to a driving environment.

Abstract: Provided is a deep learning-based panoptic segmentation accelerated processing technique using a complexity-based RPN skip method. An image segmentation system includes: a first processing unit configured to extract dynamic objects in an instance segmentation method by using an extracted feature; a calculation unit configured to control to skip some areas of the feature extracted at the network by the first processing unit, on the basis of complexity of the input image; a second processing unit configured to extract static objects in a semantic segmentation method by using the feature extracted at the network; and a fusion unit configured to fuse a result of extracting by the first processing unit and a result of extracting by the second processing unit. Accordingly, the panoptic segmentation method can be easily performed even in an embedded environment by reducing complexity for panoptic segmentation processing by reducing a calculation burden.

Abstract: There are provided an apparatus and a method for LiDAR data conversion for training various types of autonomous vehicles by using pre-acquired data. A method for converting LiDAR data according to an embodiment includes: receiving an input of first LiDAR data which is pre-acquired through a first LiDAR sensor mounted in a first vehicle; converting the inputted first LiDAR data into second LiDAR data which is acquired through a second LiDAR sensor mounted in a second vehicle; and outputting the converted second LiDAR data, and converting includes converting the first LiDAR data into LiDAR data on a reference coordinate system, and converting the converted LiDAR data into the second LiDAR data which is LiDAR data on a coordinate system of the second LiDAR sensor.

Abstract: There are provided a behavior recognition method for efficient recognition of hand signals and gesture and a behavior recognition AI network system using the same. The behavior recognition method for efficient recognition of hand signals and gestures according to an embodiment includes: an input feature extraction step of extracting, by a behavior recognition AI network system, key points F1 from bounding box data of an object which makes hand signals to be inputted by sequence, and generating skeleton data of the object; and a spatial feature extraction step of calculating, by the behavior recognition AI network system, a length F2 and an angle F3 of a bone vector based on the key points F1 and the skeleton data, and extracting a spatial feature. Accordingly, performance of recognition of hand signals and gestures may be enhanced.

Abstract: Provided is a traffic simulation for controlling a motion of an object, such as a vehicle, a pedestrian moving on a road or a pavement, in a driving simulation, an autonomous driving simulation, or the like. A traffic simulation method according to an embodiment of the present disclosure includes the steps of: importing a new moving object into a simulation environment of a simulator; retrieving data of a moving path and a start point of the moving object which is created based on a function, among pre-stored data; calculating 3D coordinates regarding a position of the moving object; moving the moving object along the moving path in the simulation environment, based on the calculated 3D coordinates; and calculating a next position of the moving object. Accordingly, a motion of an object within a simulator may be precisely created and reliability of validation regarding an operation of an algorithm mounted in an autonomous driving vehicle may be enhanced.

Abstract: Provided is an air housing apparatus for protecting, from contamination, scratches, damage and the like, a lens and a cover glass which affect the performance of an optical device installed on a vehicle such as a camera and LIDAR. The air housing apparatus according to an embodiment of the present invention comprises: a cover into which high pressure air is fed; an air guide for injecting the supplied high pressure air toward the front surface of a lens or a sensor; and an air housing provided so as to connect the cover and the air guide and transferring the high pressure air supplied from the cover to the air guide. Therefore, a lens, sensor, or cover glass of a vehicle-installed optical device such as a camera and LIDAR can be continually protected from contamination and scratches by means of the injected air.

Abstract: An organic light emitting display device includes: an organic light emitting display panel configured to include a plurality of power lines, a plurality of scan lines and a plurality of data lines; a power supplier configured to apply a reference voltage to the power lines; and a controller configured to apply at least one control signal to the power supplier. The reference voltage is gradually varied along the distance from the power supplier.

Abstract: A glasses type device with an operating means on a rim and a user input method using the same are provided. The glasses type device includes: a touch sensor provided on a rim of a frame of a glasses shape; and a processor configured to process a user operation which is input through the touch sensor. Accordingly, the touch sensors for inputting a user operation are located on the rim of the glasses frame for fixing lenses, so that intuitive various user operations can be performed.

Abstract: An organic light emitting display device includes: an organic light emitting display panel configured to include a plurality of power lines, a plurality of scan lines and a plurality of data lines; a power supplier configured to apply a reference voltage to the power lines; and a controller configured to apply at least one control signal to the power supplier. The reference voltage is gradually varied along the distance from the power supplier.

Abstract: A method for driving a field emission device (FED) applies an alternating (AC) voltage as a driving voltage for emitting electrons in a field emission device comprising cathode electrode including an emitter and an anode electrode facing the cathode electrode. A method for aging an FED uses a constant voltage so that electrons cannot be emitted from the electron emission source, and an AC voltage so that electrons can be periodically emitted from the emitter when the FED is aged.

Abstract: A field emission backlight unit includes: upper substrate and lower substrate separated from each other and facing each other; an anode formed on a bottom surface of the upper substrate; a phosphor layer formed on a bottom surface of the anode; a plurality of cathodes and gate electrodes alternately formed on a top surface of the lower substrate; and emitters formed on the cathodes; the gate electrodes include first gate electrodes formed of a conductive material on the top surface of the lower substrate and second gate electrodes having a greater thickness than that of the first gate electrodes and formed on a top surface of the first gate electrodes.

Abstract: A method for driving a field emission device (FED) applies an alternating (AC) voltage as a driving voltage for emitting electrons in a field emission device comprising cathode electrode including an emitter and an anode electrode facing the cathode electrode. A method for aging an FED uses a constant voltage so that electrons cannot be emitted from the electron emission source, and an AC voltage so that electrons can be periodically emitted from the emitter when the FED is aged.

Abstract: A field emission backlight unit includes: upper substrate and lower substrate separated from each other and facing each other; an anode formed on a bottom surface of the upper substrate; a phosphor layer formed on a bottom surface of the anode; a plurality of cathodes and gate electrodes alternately formed on a top surface of the lower substrate; and emitters formed on the cathodes; the gate electrodes include first gate electrodes formed of a conductive material on the top surface of the lower substrate and second gate electrodes having a greater thickness than that of the first gate electrodes and formed on a top surface of the first gate electrodes.

Abstract: A backlight unit having a surface luminescence structure includes: a first substrate; a first electrode arranged on a lower surface of the first substrate; a first mixed layer arranged on a lower surface of the first electrode, and including emitters and phosphors; a second substrate arranged to face the first substrate; a second electrode arranged on an upper surface of the second substrate; and a second mixed layer arranged on an upper surface of the second electrode, and including emitters and phosphors. The backlight unit can be easily manufactured at a low cost, and the light emission efficiency and brightness characteristics of the backlight unit are maximized.