Abstract: A high-voltage battery control apparatus includes a plurality of high-voltage battery controllers configured to respectively monitor states of a plurality of high-voltage batteries included in one high-voltage battery pack depending on a predetermined period for monitoring the high-voltage battery pack, wherein the high-voltage battery controllers are configured to transition state of the plurality of high-voltage battery controllers together to an end state when a high-voltage battery controller among the high-voltage battery controllers, which has completed a monitoring operation, first waits until all monitoring operations of the high-voltage battery controllers that have not yet completed monitoring operations are completed and then all the monitoring operations of the high-voltage battery controllers are completed.

Abstract: Proposed is a three-dimensional skeleton generation method using calibration based on a joint acquired from a multiview camera, capable of extracting a partial skeleton of each viewpoint from a distributed RGB-D camera, calculating a camera parameter by using a joint of each partial skeleton as a feature point, and integrating each partial skeleton into a three-dimensional skeleton based on the parameter. The three-dimensional skeleton generation method includes: (a) acquiring a multiview color-depth video; (b) generating a three-dimensional skeleton of each viewpoint from a color-depth video of each viewpoint, and generating a joint of the skeleton of each viewpoint as a feature point; (c) performing extrinsic calibration for optimizing an extrinsic parameter by using the joint of the skeleton of each viewpoint; and (d) aligning and integrating the three-dimensional skeleton of each viewpoint by using the extrinsic parameter.

Abstract: Proposed is a multi-view camera-based iterative calibration method for generation of a 3D volumetric model that performs calibration between cameras adjacent in a vertical direction for a plurality of frames, performs calibration while rotating with the results of viewpoints adjacent in the horizontal direction, and creates a virtual viewpoint between each camera pair to repeat calibration. Thus, images of various viewpoints are obtained using a plurality of low-cost commercial color-depth (RGB-D) cameras. By acquiring and performing the calibration of these images at various viewpoints, it is possible to increase the accuracy of calibration, and through this, it is possible to generate a high-quality real-life graphics volumetric model.

Abstract: Proposed is a three-dimensional skeleton generation method using calibration based on a joint acquired from a multiview camera, capable of extracting a partial skeleton of each viewpoint from a distributed RGB-D camera, calculating a camera parameter by using a joint of each partial skeleton as a feature point, and integrating each partial skeleton into a three-dimensional skeleton based on the parameter. The three-dimensional skeleton generation method includes: (a) acquiring a multiview color-depth video; (b) generating a three-dimensional skeleton of each viewpoint from a color-depth video of each viewpoint, and generating a joint of the skeleton of each viewpoint as a feature point; (c) performing extrinsic calibration for optimizing an extrinsic parameter by using the joint of the skeleton of each viewpoint; and (d) aligning and integrating the three-dimensional skeleton of each viewpoint by using the extrinsic parameter.