The number of studies examining the potential of immersive entertainment in automated vehicles is increasing. It has been demonstrated that synchronizing the visual content of virtual reality (VR) with the movements of the vehicle and matching the passenger's visual and experiential senses can enhance the immersive experience. In consideration of the preceding studies, this study proposes a novel immersive automatic driving system that prioritizes the vehicle's behavior during acceleration. The objective is to enable passengers to perceive a sense of hyper-acceleration that exceeds the actual acceleration, thereby facilitating a more immersive experience in automatic driving VR entertainment through the manipulation of vehicle behavior.

High-speed vision technology in which not just image capturing and recording but also image processing are executed simultaneously at high frame rates, exceeding video rates (30 Hz), has recently been considered an important technology for various applications, such as robotics, and man-machine interfaces. However, the image processing performed in conventional high-speed vision systems is mainly based on two-dimensional pattern recognition. In order to extend the possibilities of this technology, here we focus on real-time three-dimensional sensing at the speeds achievable by high-speed vision systems. Although a related approach for high-speed 3D sensing can achieve a frame rate of over 200 fps, there are disadvantages, including the need for multiple captured frames during sensing, a limited measurement range and low resolution. Our proposed real-time 3D sensing system consists of a projector and two cameras. By projecting a well-designed segmented pattern and using three-viewpoint epipolar constraints, the proposed system can obtain 3D points at high speed. The developed system robustly obtained a 3D shape at 450-500 fps in real time.

In this paper, we propose a new book digitization system that can obtain high-resolution document images while flipping the pages automatically. The distinctive feature of our system is the adaptive capturing that has a crucial role in achieving high speed and high resolution. This adaptive capturing requires observing the state of the flipped pages at high speed and with high accuracy. In order to meet this requirement, we newly propose a method of obtaining the 3D shape of the book, tracking each page, and evaluating the state. In addition, we explain the details of the proposed high-speed book digitization system. We also report some experiments conducted to verify the performance of the developed system.

In this paper, we propose a method for improving the resolution of a 3D shape reconstructed from multiple range images acquired from a moving target. In our approach, the alignment and surface estimation problems are solved in a simultaneous estimation framework based on multi-level implicit surface. We present results of experiments for evaluating the reconstruction accuracy with different point cloud densities and noise levels which shows that our method achieved good performance even when the input range images were low-resolution and sparse.

Embedded systems have become an essential technology in fields that require electronic control. These technologies must work in real time and have high reliability and low cost. Among them, safety verification of embedded systems is very important in fields related to human life. In addition, as multi-core and multiprocessors have spread, the processing power of the hardware has been improved. As a result, concurrent processing has become necessary. In developing concurrent embedded systems, Communicating Sequential Processes (CSP) is regarded as useful. The purpose of this study is to verify, implement, and evaluate the concurrent sorting algorithm using the characteristics of CSP. In this study, we use two characteristics of CSP: synchronous communication and verification based on the formal method. In addition, we describe the extended improvement concurrent sorting algorithm.