Automatic Labeled LiDAR Data Generation based on Precise Human Model

Following improvements in deep neural networks, state-of-the-art networks have been proposed for human recognition using point clouds captured by LiDAR. However, the performance of these networks strongly depends on the training data. An issue with collecting training data is labeling. Labeling by humans is necessary to obtain the ground truth label; however, labeling requires huge costs. Therefore, we propose an automatic labeled data generation pipeline, for which we can change any parameters or data generation environments. Our approach uses a human model named Dhaiba and a background of Miraikan and consequently generated realistic artificial data. We present 500k+ data generated by the proposed pipeline. This paper also describes the specification of the pipeline and data details with evaluations of various approaches.Comment: Accepted at ICRA201

Induction of outward current by orexin-B in mouse peritoneal macrophages

AbstractTo define effects of novel feeding regulating peptides, orexins, in immunocompetent cells, ion channel activity in mouse peritoneal macrophages was analyzed by the perforated patch-clamp method. Orexin-B (OX-B) induced an outward current at smaller holding potentials than K+ equilibrium potentials. Reversal potentials of OX-B induced current were dependent on external K+ concentrations but not on external Cl− concentration. Orexin-A is less effective than OX-B. Quinine blocked the outward current and tetraethylammonium partially suppressed the current. These results suggest that OX-B can modulate macrophage functions through the activation of Ca2+-dependent K+ channels

Articulated Trajectory Mapping for Reviewing Walking Tours

This paper addresses how to enrich a map-based representation for reviewing walking tours with the features of trajectory mapping and tracing animation. Generally, a trajectory generated by raw GPS data can often be difficult to browse through on a map. To resolve this issue, we first illustrated tangled trajectory lines, inaccurate indoor positioning, and unstable trajectory lines as problems encountered when mapping raw trajectory data. Then, we proposed a new framework that focuses on GPS horizontal accuracy to locate indoor location points and find stopping points on an accelerometer. We also applied a conventional line simplification algorithm to make the trajectory cleaner and then integrated the extracted points with the clean trajectory line. Furthermore, our experiments with some actual logs of walking tours demonstrated that articulated trajectory mapping, which comprises simplification and characterization methods, sufficiently reliable and effective for better reviewing experiences. The paper contributes to the research on cleaning up map-based displays and tracing animations of raw trajectory GPS data by using not only location data but also sensor data that smartphones can collect

実験的急性膵炎における病態生理の研究: 脂肪乳剤の投与の影響について

取得学位 : 博士（医学）, 学位授与番号 : 医博乙第1116号, 学位授与年月日：平成3年1月16日,学位授与年：199

Autonomous spacecraft executive and its application to rendezvous and docking

Autonomy is needed for future spacecraft to solve the problems of human operator overload and transmission delay. This paper describes the autonomous spacecraft executive for rendezvous and docking. It is an onboard expert system and has decision making capability for mission planning of nominal and contingency cases. The executive has been developed and verified using a hardware motion based simulator