{"id":50,"date":"2026-02-18T00:54:08","date_gmt":"2026-02-17T15:54:08","guid":{"rendered":"https:\/\/taroz.net\/?page_id=50"},"modified":"2026-02-18T20:57:28","modified_gmt":"2026-02-18T11:57:28","slug":"publication","status":"publish","type":"page","link":"https:\/\/taroz.net\/index.php\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2025<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Niimi, Daiki; Fujino, An; Suzuki, Taro; Meguro, Junichi; \",Tightly Coupled Rao-Blackwellized Particle Filter for GNSS-Only Positioning in Urban Environments Without Ambiguity Resolution,IEEE Robotics and Automation Letters,11,2,1122-1129,2025,IEEE<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",Open-source factor graph optimization package for GNSS: Examples and applications,\"2025 IEEE\/ION Position, Location and Navigation Symposium (PLANS)\",,,1394-1402,2025,IEEE<\/li>\n\n\n\n<li>\"Niimi, Daiki; Fujino, An; Suzuki, Taro; Meguro, Junichi; \",Robust position estimation by rao-blackwellized particle filter without integer ambiguity resolution in urban environments,\"2025 IEEE\/ION Position, Location and Navigation Symposium (PLANS)\",,,1239-1246,2025,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Pseudo Dual-Polarization Antenna: NLOS Multipath Detection by Antenna Rotation,Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025),,,1440-1450,2025,<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"\u85e4\u91ce\u674f; \u65b0\u7f8e\u5927\u6a39; \u9234\u6728\u592a\u90ce; \u76ee\u9ed2\u6df3\u4e00; \",GNSS \u4fe1\u53f7\u306e\u4e8c\u91cd\u5dee\u6b8b\u5dee\u3092\u6d3b\u7528\u3057\u305f\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u306b\u3088\u308b\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5\u306e\u6539\u5584\u2015\u8eca\u8f2a\u901f\/IMU \u306e\u7d71\u5408\u306b\u3088\u308b\u72b6\u614b\u66f4\u65b0\u3068\u4ef0\u89d2\u3092\u8003\u616e\u3057\u305f\u89b3\u6e2c\u66f4\u65b0\u306e\u691c\u8a0e\u2015,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2025,,,2A1-P02,2025,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u5409\u7530\u667a\u7ae0; \u5165\u6c5f\u6e05; \u539f\u7965\u5c2d; \u9234\u6728\u592a\u90ce; \u53cb\u7d0d\u6b63\u88d5; \",\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u6b69\u884c\u5236\u5fa1\u306b\u304a\u3051\u308b\u30d6\u30e9\u30a4\u30f3\u30c9\u65b9\u7b56\u3092\u7528\u3044\u305f\u968e\u6bb5\u6b69\u884c\u3068\u4f4e\u901f\u6b69\u884c\u306e\u6027\u80fd\u6539\u5584,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2025,,,2A2-C08,2025,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u6fa4\u6751\u7406\u751f; \u5c0f\u5cf6\u5320\u592a\u90ce; \u843d\u5408\u8061; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u6d45\u91ce\u516c\u9686; \u9234\u6728\u9ad8\u5b8f; \u7530\u6240\u8aed; \u5927\u91ce\u548c\u5247; \",VAE \u306b\u3088\u308b\u5727\u7e2e\u5730\u56f3\u3068\u52d5\u304d\u306e\u30c7\u30fc\u30bf\u3092\u5165\u529b\u3068\u3059\u308b iTransformer \u3092\u5229\u7528\u3057\u305f\u5927\u578b\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u884c\u52d5\u4e88\u6e2c,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2025,,,2A1-P09,2025,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2024<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",Attitude-estimation-free GNSS and IMU integration,IEEE Robotics and Automation Letters,9,2,1090-1097,2024,IEEE<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",Multiple update particle filter: Position estimation by combining gnss pseudorange and carrier phase observations,2024 IEEE International Conference on Robotics and Automation (ICRA),,,13680-13686,2024,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kojima, Shotaro; Ohno, Kazunori; Miyamoto, Naoto; Suzuki, Takahiro; Asano, Kimitaka; Komatsu, Tomohiro; Kakizaki, Hiroto; \",Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers,Proceedings of the ION 2024 Pacific PNT Meeting,,,65-74,2024,<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Second place winner of the smartphone decimeter challenge: An open-source factor graph optimization package for gnss and imu integration in smartphones,Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024),,,2703-2713,2024,<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"\u5c0f\u5cf6\u5320\u592a\u90ce; \u5927\u91ce\u548c\u5247; \u6d45\u91ce\u516c\u9686; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u843d\u5408\u8061; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \u7530\u6240\u8aed; \",\u5f8c\u4ed8\u3051\u904b\u8ee2\u88c5\u7f6e\u3092\u7528\u3044\u305f\u81ea\u52d5\u8d70\u884c\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u63a1\u77f3\u73fe\u5834\u3078\u306e\u9069\u7528-\u7b2c 2 \u5831: \u6642\u901f 15km \u4ee5\u4e0a\u306e\u9ad8\u901f\u8d70\u884c\u306e\u5b9f\u73fe\u306b\u5411\u3051\u305f\u8ab2\u984c\u306e\u5206\u6790,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2024,,,2P2-B01,2024,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u9234\u6728\u592a\u90ce; \",\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u5185\u8535\u306e GNSS \u3068 IMU \u306f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u306b\u5229\u7528\u3067\u304d\u308b\u306e\u304b?,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2024,,,1P2-O02,2024,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u843d\u5408\u8061; \u5c0f\u5cf6\u5320\u592a\u90ce; \u6d45\u91ce\u516c\u9686; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u7530\u6240\u8aed; \u5927\u91ce\u548c\u5247; \",\u4eba\u306e\u904b\u8ee2\u30c7\u30fc\u30bf\u5206\u6790\u306b\u57fa\u3065\u304f\u50be\u659c\u5730\u9069\u5fdc\u306e\u7d4c\u8def\u8a08\u753b\u3068\u5927\u578b\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u81ea\u52d5\u904b\u8ee2\u306e\u8a66\u884c,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2024,,,1P1-L04,2024,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2023<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",Precise position estimation using smartphone raw GNSS data based on two-step optimization,Sensors,23,3,1205,2023,MDPI<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Evaluation of L6 augmentation signal reception characteristics and positioning accuracy of compact and lightweight GNSS antennas,Scientific Reports,13,1,21766,2023,Nature Publishing Group UK London<\/li>\n\n\n\n<li>\"Akiyama, Jin; Yuan, Zong; Naoki, Shinada; Suzuki, Taro; Yoshiharu, Amano; \",High-resolution point cloud registration method for three-dimensional piping measurements,Journal of Robotics and Mechatronics,35,6,1655-1662,2023,Fuji Technology Press Co. Ltd.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Ozeki, Tomohiro; Kubo, Nobuaki; Suzuki, Taro; Ebinuma, Takuji; Takasu, Tomoji; \",Evaluation of the Actual Performance of PPP in Urban Areas Using Pocket SDR,Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023),,,3488-3498,2023,<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"\u6a2a\u5c71\u6148; \u5927\u91ce\u548c\u5247; \u5c0f\u5cf6\u5320\u592a\u90ce; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \u6d45\u91ce\u516c\u9686; \u57a3\u5d0e\u5bdb\u4eba; \u7530\u6240\u8aed; \",\u30ec\u30c8\u30ed\u30d5\u30a3\u30c3\u30c8\u6280\u8853\u3092\u6d3b\u7528\u3057\u305f\u5927\u578b\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u571f\u7802\u7a4d\u307f\u4e0b\u308d\u3057\u306e\u81ea\u52d5\u5316,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2023,,,1A2-A23,2023,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u8b1d\u82b1\u99ff\u4e4b\u4ecb; \u767d\u4e95\u5eb7\u4ecb; \u9234\u6728\u592a\u90ce; \u5869\u6fa4\u99ff\u4e00; \u5929\u91ce\u5609\u6625; \",\u4e0a\u7a7a UAV \u30ec\u30fc\u30b6\u30c7\u30fc\u30bf\u3068\u6797\u5185\u306e UAV \u753b\u50cf\u8a08\u6e2c\u306e\u8907\u5408\u306b\u3088\u308b\u5358\u6728\u5358\u4f4d\u306e\u6750\u7a4d\u63a8\u5b9a\u624b\u6cd5\u306e\u63d0\u6848,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2023,,,2P2-C16,2023,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u5409\u7530\u667a\u7ae0; \u5165\u6c5f\u6e05; \u539f\u7965\u5c2d; \u9234\u6728\u592a\u90ce; \u53cb\u7d0d\u6b63\u88d5; \",\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u6b69\u9053\u74b0\u5883\u3092\u79fb\u52d5\u3059\u308b\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u6b69\u884c\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2023,,,2A2-F20,2023,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u5c0f\u5cf6\u5320\u592a\u90ce; \u5927\u91ce\u548c\u5247; \u6d45\u91ce\u516c\u9686; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u6a2a\u5c71\u6148; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \u57a3\u5d0e\u5bdb\u4eba; \u7530\u6240\u8aed; \",\u5f8c\u4ed8\u3051\u904b\u8ee2\u88c5\u7f6e\u3092\u7528\u3044\u305f\u81ea\u52d5\u8d70\u884c\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u7815\u77f3\u73fe\u5834\u3078\u306e\u9069\u7528,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2023,,,1A1-A28,2023,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u79cb\u5c71\u4ec1; \u5b97\u6e90; \u9234\u6728\u592a\u90ce; \u5929\u91ce\u5609\u6625; \",LiDAR \u70b9\u7fa4\u3068 SfM \u70b9\u7fa4\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u5c4b\u5916\u30a4\u30f3\u30d5\u30e9\u306e\u5065\u5168\u6027\u8a55\u4fa1\u306b\u5411\u3051\u305f 3 \u6b21\u5143\u70b9\u7fa4\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2023,,,1P1-B07,2023,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2022<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",GNSS odometry: Precise trajectory estimation based on carrier phase cycle slip estimation,IEEE Robotics and Automation Letters,7,3,7319-7326,2022,IEEE<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Akegawa, Tetsu; Ohno, Kazunori; Kojima, Shotaro; Yamada, Kento; Go, Wiru; Suzuki, Taro; Kiribayashi, Seiga; Komatsu, Tomohiro; Miyamoto, Naoto; Suzuki, Takahiro; \",Path planning of the turning back of an autonomous large-scale six-wheeled dump truck for loading\/leaving sediment based on backhoe work,2022 IEEE\/SICE International Symposium on System Integration (SII),,,511-518,2022,IEEE<\/li>\n\n\n\n<li>\"Akegawa, Tetsu; Ohno, Kazunori; Kojima, Shotaro; Miyamoto, Naoto; Suzuki, Taro; Komatsu, Tomohiro; Suzuki, Takahiro; Shibata, Yukinori; Asano, Kimitaka; Tadokoro, Satoshi; \",Loading an Autonomous Large-Scale Dump Truck: Path Planning Based on Motion Data from Human-Operated Construction Vehicles,2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS),,,6577-6584,2022,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",1st place winner of the smartphone decimeter challenge: Two-step optimization of velocity and position using smartphone\u2019s carrier phase observations,Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022),,,2276-2286,2022,<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"\u5165\u6c5f\u6e05; \u9234\u6728\u592a\u90ce; \u539f\u7965\u5c2d; \u5409\u7530\u667a\u7ae0; \u53cb\u7d0d\u6b63\u88d5; \",\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u5c4b\u5916\u5b9f\u74b0\u5883\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u5b9f\u9a13,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2022,,,2P1-H01,2022,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u5927\u91ce\u548c\u5247; \u660e\u6cb3\u54f2; \u5c0f\u5cf6\u5320\u592a\u90ce; \u6a2a\u5c71\u6148; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \u67f4\u7530\u5e78\u5247; \u6d45\u91ce\u516c\u9686; \",\u5f8c\u4ed8\u904b\u8ee2\u53e3\u30dc\u30c3\u30c8\u3092\u5229\u7528\u3057\u305f\u7a4d\u8f09\u91cf 40t \u306e\u5927\u578b 6 \u8f2a\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u81ea\u52d5\u571f\u7802\u904b\u642c,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2022,,,1P1-B03,2022,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u6a2a\u5c71\u6148; \u897f\u689d\u9054\u6176; \u5927\u91ce\u548c\u5247; \u5c0f\u5cf6\u5320\u592a\u90ce; \u660e\u6cb3\u54f2; \u9234\u6728\u592a\u90ce; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \u67f4\u7530\u5e78\u5247; \",\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u3092\u5229\u7528\u3057\u305f\u7570\u306a\u308b\u571f\u7802\u306e\u7a2e\u985e\u3068\u7a4d\u307f\u4e0b\u308d\u3057\u4f4d\u7f6e\u306b\u3088\u308b\u571f\u7802\u5c71\u5f62\u72b6\u306e\u89e3\u6790,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2022,,,1P1-B02,2022,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2021<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; Amano, Yoshiharu; \",NLOS multipath classification of GNSS signal correlation output using machine learning,Sensors,21,7,2503,2021,MDPI<\/li>\n\n\n\n<li>\"Suzuki, Taro; Shiozawa, Shunichi; Yamaba, Atsushi; Amano, Yoshiharu; \",Forest data collection by uav lidar-based 3d mapping: segmentation of individual tree information from 3d point clouds,International journal of automation technology,15,3,313-323,2021,Fuji Technology Press Ltd.<\/li>\n\n\n\n<li>\"Westfechtel, Thomas; Ohno, Kazunori; Akegawa, Tetsu; Yamada, Kento; Neto, Ranulfo Plutarco Bezerra; Kojima, Shotaro; Suzuki, Taro; Komatsu, Tomohiro; Shibata, Yukinori; Asano, Kimitaka; \",Semantic mapping of construction site from multiple daily airborne LiDAR data,IEEE Robotics and Automation Letters,6,2,3073-3080,2021,IEEE<\/li>\n\n\n\n<li>\"Yamada, Kento; Ohno, Kazunori; Hamada, Ryunosuke; Plutarco Bezerra Neto, Ranulfo; Miyamoto, Naoto; Kojima, Shotaro; Suzuki, Taro; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori; \",An individual prediction model of the pre-loading motion for operator and backhoe pairs,Advanced Robotics,35,23,1388-1403,2021,Taylor &amp; Francis<\/li>\n\n\n\n<li>\"Suzuki, Taro; Ohno, Kazunori; Kojima, Shotaro; Miyamoto, Naoto; Suzuki, Takahiro; Komatsu, Tomohiro; Shibata, Yukinori; Asano, Kimitaka; Nagatani, Keiji; \",Estimation of articulated angle in six-wheeled dump trucks using multiple GNSS receivers for autonomous driving,Advanced Robotics,35,23,1376-1387,2021,Taylor &amp; Francis<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Komatsu, Tomohiro; Konno, Yota; Kiribayashi, Seiga; Nagatani, Keiji; Suzuki, Takahiro; Ohno, Kazunori; Suzuki, Taro; Miyamoto, Naoto; Shibata, Yukinori; Asano, Kimitaka; \",Autonomous driving of six-wheeled dump truck with a retrofitted robot,Field and Service Robotics: Results of the 12th International Conference,,,59-72,2021,Springer Singapore Singapore<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",First place award winner of the smartphone decimeter challenge: Global optimization of position and velocity by factor graph optimization,Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021),,,2974-2985,2021,<\/li>\n\n\n\n<li>\"Hsu, Li-Ta; Kubo, Nobuaki; Wen, Weisong; Chen, Wu; Liu, Zhizhao; Suzuki, Taro; Meguro, Junichi; \",UrbanNav: An open-sourced multisensory dataset for benchmarking positioning algorithms designed for urban areas,Proceedings of the 34th international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2021),,,226-256,2021,<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Robust vehicle positioning in multipath environments based on graph optimization,Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021),,,4223-4233,2021,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Ichikawa, Yuki; Komine, Akira; Takejima, Kiyoshi; Matsuoka, Shigeru; Akiyama, Kyohei; Matsumoto, Jun; \",Ranging and Demodulation Performance of QZSS L1C Signal in Forest\/Urban Environments,Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021),,,1927-1953,2021,<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"\u5b97\u6e90; \u54c1\u7530\u76f4\u6a39; \u9234\u6728\u592a\u90ce; \u5929\u91ce\u5609\u6625; \",\u5c0f\u578b UAV \u306b\u3088\u308b 3 \u6b21\u5143\u5730\u56f3\u3092\u7528\u3044\u305f\u914d\u7ba1\u7570\u5e38\u306e\u691c\u51fa,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2021,,,2P1-A18,2021,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u5165\u6c5f\u6e05; \u9234\u6728\u592a\u90ce; \u539f\u7965\u5c2d; \u5409\u7530\u667a\u7ae0; \u53cb\u7d0d\u6b63\u88d5; \u897f\u6751\u5065\u5fd7; \u5927\u548c\u79c0\u5f70; \u6e05\u6c34\u6b63\u6674; \",\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u306e\u7d4c\u8def\u8ffd\u5f93\u5236\u5fa1\u3092\u7528\u3044\u305f\u811a\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2021,,,1P1-L01,2021,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u660e\u6cb3\u54f2; \u5927\u91ce\u548c\u5247; \u5c0f\u5cf6\u5320\u592a\u90ce; \u5c71\u7530\u5065\u6597; \u90f7\u521d\u7460; \u9234\u6728\u592a\u90ce; \u6850\u6797\u661f\u6cb3; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \",\u5927\u578b\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u571f\u7802\u904b\u642c\u4f5c\u696d\u306b\u9069\u3057\u305f\u7d4c\u8def\u8a08\u753b\u6cd5\u306e\u78ba\u7acb,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2021,,,2P1-A11,2021,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n\n\n\n<li>\"\u90f7\u521d\u7460; \u5927\u91ce\u548c\u5247; \u5c0f\u5cf6\u5320\u592a\u90ce; \u5c71\u7530\u5065\u6597; \u660e\u6cb3\u54f2; \u9234\u6728\u592a\u90ce; \u6850\u6797\u661f\u6cb3; \u5c0f\u677e\u667a\u5e83; \u5bae\u672c\u76f4\u4eba; \u9234\u6728\u9ad8\u5b8f; \",\u30d0\u30c3\u30af\u30db\u30a6\u306e\u571f\u7802\u7a4d\u307f\u8fbc\u307f\u59ff\u52e2\u306b\u3082\u3068\u3065\u304f\u5927\u578b\u30c0\u30f3\u30d7\u30c8\u30e9\u30c3\u30af\u306e\u81ea\u52d5\u505c\u8eca,\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2021,,,2P3-B01,2021,\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2020\u5e74\u4ee5\u524d<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e3b\u8981\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; \",Time-relative RTK-GNSS: GNSS loop closure in pose graph optimization,IEEE robotics and automation letters,5,3,4735-4742,2020,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Matsuo, Kazuki; Amano, Yoshiharu; \",Rotating GNSS antennas: Simultaneous LOS and NLOS multipath mitigation,GPS Solutions,24,3,86,2020,Springer Berlin Heidelberg Berlin\/Heidelberg<\/li>\n\n\n\n<li>\"SUZUKI, Taro; TSUCHIYA, Takeshi; SUZUKI, Shinji; YAMABA, Atsushi; \",Vegetation classification using a small UAV based on superpixel segmentation and machine learning,Journal of the Remote Sensing Society of Japan,39,Supplement,S30-S42,2019,The Remote Sensing Society of Japan<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Mobile robot localization with GNSS multipath detection using pseudorange residuals,Advanced Robotics,33,12,602-613,2019,Taylor &amp; Francis<\/li>\n\n\n\n<li>\"Kato, Shodai; Kitamura, Mitsunori; Suzuki, Taro; Amano, Yoshiharu; \",NLOS satellite detection using a fish-eye camera for improving GNSS positioning accuracy in urban area,Journal of robotics and mechatronics,28,1,31-39,2016,Fuji Technology Press Ltd.<\/li>\n\n\n\n<li>\"Kubo, Nobuaki; Suzuki, Taro; \",Performance improvement of RTK-GNSS with IMU and vehicle speed sensors in an urban environment,\"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences\",99,1,217-224,2016,\"The Institute of Electronics, Information and Communication Engineers\"<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Kubo, Nobuaki; \",Autonomous navigation of a mobile robot based on GNSS\/DR integration in outdoor environments,Journal of Robotics and Mechatronics,26,2,214-224,2014,Fuji Technology Press Ltd.<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Kubo, Nobuaki; \",Vehicle teleoperation using 3D maps and GPS time synchronization,IEEE computer graphics and applications,33,5,82-88,2013,IEEE<\/li>\n\n\n\n<li>\"Kitamura, Mitsunori; Yasuoka, Yoichi; Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; \",Path Planning for Autonomous Vehicles Using QZSS and Satellite Visibility Map.,J. Robotics Mechatronics,25,2,400-407,2013,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Suzuki, Shinji; \",3D terrain reconstruction by small unmanned aerial vehicle using SIFT-based monocular SLAM,Journal of Robotics and Mechatronics,23,2,292-301,2011,Fuji Technology Press<\/li>\n\n\n\n<li>\"Kitamura, Mitsunori; Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; \",Improvement of GPS and GLONASS positioning accuracy by multipath mitigation using omnidirectional InfraRed camera,Journal of Robotics and Mechatronics,23,6,1125-1131,2011,Fuji Technology Press<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; \",6-DOF localization for a mobile robot using outdoor 3D point clouds,Journal of Robotics and Mechatronics,22,2,158-166,2010,Fuji Technology Press<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Suzuki, Shinji; Yamaba, Atsushi; \",Generation of large mosaic images for vegetation monitoring using a small unmanned aerial vehicle,Journal of Robotics and Mechatronics,22,2,212-220,2010,Fuji Technology Press<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e3b\u8981\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\"Suzuki, Taro; Kusama, Kazuki; Amano, Yoshiharu; \",NLOS multipath detection using convolutional neural network,Proceedings of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2020),,,2989-3000,2020,<\/li>\n\n\n\n<li>\"Xu, Bing; Hsu, Li-Ta; Suzuki, Taro; \",Intermediate frequency level GPS multipath\/NLOS simulator based on vector tracking and ray tracing,Proceedings of the 2020 International Technical Meeting of The Institute of Navigation,,,249-258,2020,<\/li>\n\n\n\n<li>\"Yamada, Kento; Ohno, Kazunori; Miyamoto, Naoto; Suzuki, Taro; Kojima, Shotaro; Neto, Ranulfo Plutarco Bezerra; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori; Asano, Kimitaka; \",Attachable sensor boxes to visualize backhoe motion,2020 IEEE\/SICE International Symposium on System Integration (SII),,,706-711,2020,IEEE<\/li>\n\n\n\n<li>\"Yamada, Kento; Ohno, Kazunori; Hamada, Ryunosuke; Westfechtel, Thomas; Neto, Ranulfo Plutarco Bezerra; Miyamoto, Naoto; Suzuki, Taro; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori; \",Prediction of backhoe loading motion via the beta-process hidden markov model,2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS),,,2663-2670,2020,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Inoue, Daichi; Amano, Yoshiharu; \",Robust UAV position and attitude estimation using multiple GNSS receivers for laser-based 3D mapping,2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS),,,4402-4408,2019,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Particle filter-based GNSS positioning with NLOS multipath detection,Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018),,,3385-3397,2018,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Nakano, Yusuke; Amano, Yoshiharu; \",NLOS multipath detection by using machine learning in urban environments,Proceedings of the 30th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2017),,,3958-3967,2017,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Takahashi, Yusuke; Amano, Yoshiharu; \",Precise UAV position and attitude estimation by multiple GNSS receivers for 3D mapping,Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016),,,1455-1464,2016,<\/li>\n\n\n\n<li>\"Suzuki, Taro; \",Integration of GNSS positioning and 3D map using particle filter,Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016),,,1296-1304,2016,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",Simulation of GNSS satellite availability in urban environments using Google Earth,Proceedings of the ION 2015 Pacific PNT Meeting,,,1069-1079,2015,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",GNSS photo matching: Positioning using gnss and camera in urban canyon,Proceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2015),,,2470-2480,2015,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",N-LOS GNSS signal detection using fish-eye camera for vehicle navigation in urban environments,Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014),,,1897-1906,2014,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; Takasu, Tomoji; \",Evaluation of precise point positioning using MADOCA-LEX via Quasi-Zenith satellite system,Proceedings of the 2014 International Technical Meeting of the Institute of Navigation,,,460-470,2014,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",GNSS-SDRLIB: An open-source and real-time GNSS software defined radio library,Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014),,,1364-1375,2014,<\/li>\n\n\n\n<li>\"Kubo, Nobuaki; Hou, Rin; Suzuki, Taro; \",Decimeter level vehicle navigation combining multi-GNSS with existing sensors in dense urban areas,Proceedings of the 2014 International Technical Meeting of The Institute of Navigation,,,450-459,2014,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",Correcting GNSS multipath errors using a 3D surface model and particle filter,Proceedings of the 26th international technical meeting of the satellite division of The Institute of Navigation (ION GNSS+ 2013),,,1583-1595,2013,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",Precise point positioning for mobile robots using software GNSS receiver and QZSS LEX signal,2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems,,,369-375,2013,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kubo, Nobuaki; \",GNSS positioning with multipath simulation using 3D surface model in urban canyon,Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012),,,438-447,2012,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; \",Development of a SIFT based monocular EKF-SLAM algorithm for a small unmanned aerial vehicle,SICE Annual Conference 2011,,,1656-1659,2011,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi; \",High-accuracy GPS and GLONASS positioning by multipath mitigation using omnidirectional infrared camera,2011 IEEE International Conference on Robotics and Automation,,,311-316,2011,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi; \",Multipath mitigation using omnidirectional infrared camera for tightly coupled GPS\/INS integration in urban environments,Proceedings of the 24th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2011),,,2914-2922,2011,<\/li>\n\n\n\n<li>\"Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi; \",6-DOF localization for a mobile robot using outdoor 3D voxel maps,2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems,,,5737-5743,2010,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; \",Vision based localization of a small UAV for generating a large mosaic image,Proceedings of SICE Annual Conference 2010,,,2960-2964,2010,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Amano, Yoshiharu; Takiguchi, Jun-ichi; Hashizume, Takumi; Suzuki, Shinji; Yamaba, Atsushi; \",Development of low-cost and flexible vegetation monitoring system using small unmanned aerial vehicle,2009 ICCAS-SICE,,,4808-4812,2009,IEEE<\/li>\n\n\n\n<li>\"Suzuki, Taro; Meguro, Jun-ichi; Amano, Yoshiharu; Hashizume, Takumi; Kubo, Daisuke; Tsuchiya, Takeshi; Suzuki, Shinji; Hirokawa, Rui; Tatsumi, Kaoru; Sato, Koichi; \",Development of information collecting system using a small unmanned aerial vehicle for disaster prevention and mitigation,Journal of the robotics society of Japan,26,6,553-560,2008,The Robotics Society of Japan<\/li>\n\n\n\n<li>\"Suzuki, Taro; Miyoshi, Daichi; Meguro, Jun-ichi; Amano, Yoshiharu; Hashizume, Takumi; Sato, Koich; Takiguchi, Jun-ich; \",Real-time hazard map generation using small unmanned aerial vehicle,2008 SICE annual conference,,,443-446,2008,IEEE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>2025 \u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 \u56fd\u5185\u4f1a\u8b70\u8ad6\u6587 2024 \u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 \u56fd\u5185\u4f1a\u8b70\u8ad6\u6587 2023 \u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 \u56fd\u5185\u4f1a\u8b70\u8ad6\u6587 2022 \u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 \u56fd\u5185\u4f1a\u8b70\u8ad6\u6587 2021 \u8ad6\u6587 \u56fd\u969b\u4f1a\u8b70\u8ad6\u6587 \u56fd\u5185\u4f1a\u8b70\u8ad6\u6587  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"ja","_original_post":"https:\/\/taroz.net\/?page_id=50","vkexunit_cta_each_option":"","footnotes":""},"class_list":["post-50","page","type-page","status-publish","hentry","ja"],"_links":{"self":[{"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/pages\/50","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/comments?post=50"}],"version-history":[{"count":6,"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/pages\/50\/revisions"}],"predecessor-version":[{"id":229,"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/pages\/50\/revisions\/229"}],"wp:attachment":[{"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/media?parent=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}