Abstract:
A user interface apparatus for a vehicle includes: an interface unit; a display unit configured to project an augmented reality (AR) graphic object onto a screen; at least one processor; and a computer-readable medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations including: acquiring, through the interface unit, front view image information and vehicle motion information; based on the front view image information, generating the AR graphic object; and based on the vehicle motion information, warping the AR graphic object.
Abstract:
A picture decoding method implemented by a decoding device, according to the present invention, comprises the steps of: acquiring motion prediction information from a bitstream; generating an affine MVP candidate list comprising affine MVP candidates for the current block; deriving CPMVPs for the respective CPs of the current block on the basis of one affine MVP candidate among the affine MVP candidates included in the affine MVP candidate list; deriving CPMVDs for the CPs of the current block on the basis of information on the CPMVDs for the respective CPs included in the acquired motion prediction information; and deriving CPMVs for the CPs of the current block on the basis of the CPMVPs and the CPMVDs.
Abstract:
An image decoding method performed by a decoding device according to the present disclosure comprises: a step of deriving reference picture list 0 (L0) and reference picture list 1 (L1); a step of deriving two motion vectors (MV) for a current block, the two MVs including MVL0 for the L0 and MVL1 for the L1; a step of determining whether to apply bi-prediction optical flow (BIO) prediction for deriving refined motion vectors by sub-blocks to the current block; a step of deriving a refined motion vector for a sub-block of the current block based on the MVL0 and MVL1, if the BIO prediction is applied to the current block; and a step of deriving a prediction sample based on the refined motion vector.
Abstract:
An image decoding method that is performed by a decoding apparatus according to the present disclosure comprises the steps of: obtaining information regarding inter-prediction of a current block via a bitstream; forming an MVP candidate list based on neighbouring blocks of the current block; deriving costs with respect to MVP candidates that are included in the MVP candidate list; deriving a revised MVP candidate list based on the costs with respect to the MVP candidates; deriving MVP of the current block based on the revised MVP candidate list; deriving a motion vector of the current block based on the MVP and MVD of the current block; and performing prediction on the current block based on a reference picture index and the motion vector of the current block, wherein the information regarding inter-prediction includes the reference picture index and the MVD.
Abstract:
According to the present disclosure, an image decoding method performed by a decoding apparatus comprises the steps of: acquiring motion prediction information on a current block from a bitstream; generating an affine MVP candidate list including affine motion vector predictor candidates for the current block; deriving CPMVPs for CPs of the current block on the basis of one affine MVP candidate among the affine MVP candidates included in the affine MVP candidate list; deriving CPMVDs for the CPs of the current block on the basis of the motion prediction information; deriving CPMVs for the CPs of the current block on the basis of the CPMVPs and the CPMVDs; and deriving prediction samples for the current block on the basis of the CPMVs.
Abstract:
Disclosed herein are an inter prediction mode-based image processing method and an apparatus therefor. Specifically, a method for processing an image based on an inter prediction mode may include: generating a temporary candidate list by using a spatial neighbor block or temporal neighbor block of a current block; calculating a cost for each candidate in the temporary candidate list by using a template of the current block; generating a final candidate list by rearranging candidates of the temporary candidate list based on the calculated cost; decoding a merge index indicating a specific candidate in the final candidate list; and generating a prediction block of the current block by using motion information of a candidate indicated by the merge index.
Abstract:
An image decoding method based on an inter prediction is disclosed. The image decoding method according to an embodiment of the present disclosure includes deriving first motion information of a current block by applying template matching on the current block; determining whether to perform the template matching in subblock units of the current block; if it is determined not to perform the template matching in the subblock units, generating a prediction block of the current block by using the first motion information; if it is determined to perform the template matching in the subblock units, deriving second motion information in subblock units by performing the template matching on a subblock of the current block; and generating a prediction block of the current block by using the derived first motion information and the derived second motion information. The template matching is a mode deriving motion information minimizing a difference value between a neighbor template region of the current block and a neighbor template region of a reference block of a reference picture.
Abstract:
The present invention relates to a head-up display for a vehicle configured to change display positions of a plurality of virtual images displayed through a windshield of the vehicle or the like to implement augmented reality and a control method thereof, and a head-up display for a vehicle according to an embodiment of the present disclosure may include a mirror unit comprising a first mirror for reflecting first and second image lights toward a windshield of the vehicle; a display layer located at the windshield of the vehicle to display a first virtual image corresponding to the first image light in a first region, and display a second virtual image corresponding to the second image light in a second region; and a controller configured to change an inclination of the first mirror to change a display position of the first and the second virtual image.
Abstract:
The present invention relates to a method and an apparatus for discovering and connecting an alternative communication means by using Bluetooth low energy (LE) technology. According to the present invention, provided are a method including: receiving an advertising message from a second device; requesting additional information of the alternative communication means based on the advertising message to the second device; receiving the additional information of the alternative communication means from the second device in response to the request message; and performing handover to the second device and the alternative communication means based on the additional information, and the advertising message includes at least one of an alternative communication means ID, location information of the additional information, or available information of the alternative communication means, and an apparatus.
Abstract:
Disclosed are a method and an apparatus capable of searching for a docking service and a peripheral function incidental to the docking service in a direct communication system. To this end, a method by which a first wireless device searches for a peripheral function provided by a second wireless device can comprise the steps of: transmitting a probe request frame to the second wireless device by the first wireless device; and receiving a probe response frame from the second wireless device as a response to the search request, wherein the probe response frame can include a bitmap for indicating a name of the peripheral function supported by the second wireless device or the peripheral function supported by the second wireless device.