{"id":50,"date":"2026-02-18T00:54:08","date_gmt":"2026-02-17T15:54:08","guid":{"rendered":"https:\/\/taroz.net\/?page_id=50"},"modified":"2026-08-06T07:29:38","modified_gmt":"2026-08-05T22:29:38","slug":"publication","status":"publish","type":"page","link":"https:\/\/taroz.net\/index.php\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"<ul class=\"wp-block-list\"><li>Top<\/li><li>Publication<\/li><\/ul>\n<h2 class=\"wp-block-heading\">2025<\/h2>\n<h3 class=\"wp-block-heading\">\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Niimi, Daiki; Fujino, An; Suzuki, Taro; Meguro, Junichi. <strong>Tightly Coupled Rao-Blackwellized Particle Filter for GNSS-Only Positioning in Urban Environments Without Ambiguity Resolution<\/strong>. IEEE Robotics and Automation Letters 11(2), 1122-1129, 2025. IEEE<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>Open-source factor graph optimization package for GNSS: Examples and applications<\/strong>. 2025 IEEE\/ION Position, Location and Navigation Symposium (PLANS), 1394-1402, 2025. IEEE<\/li><li>Niimi, Daiki; Fujino, An; Suzuki, Taro; Meguro, Junichi. <strong>Robust position estimation by rao-blackwellized particle filter without integer ambiguity resolution in urban environments<\/strong>. 2025 IEEE\/ION Position, Location and Navigation Symposium (PLANS), 1239-1246, 2025. IEEE<\/li><li>Suzuki, Taro. <strong>Pseudo Dual-Polarization Antenna: NLOS Multipath Detection by Antenna Rotation<\/strong>. Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025), 1440-1450, 2025<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>\u85e4\u91ce\u674f; \u65b0\u7f8e\u5927\u6a39; \u9234\u6728\u592a\u90ce; \u76ee\u9ed2\u6df3\u4e00. <strong>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<\/strong>. \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><li>\u5409\u7530\u667a\u7ae0; \u5165\u6c5f\u6e05; \u539f\u7965\u5c2d; \u9234\u6728\u592a\u90ce; \u53cb\u7d0d\u6b63\u88d5. <strong>\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<\/strong>. \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><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. <strong>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<\/strong>. \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><\/ul>\n<h2 class=\"wp-block-heading\">2024<\/h2>\n<h3 class=\"wp-block-heading\">\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>Attitude-estimation-free GNSS and IMU integration<\/strong>. IEEE Robotics and Automation Letters 9(2), 1090-1097, 2024. IEEE<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>Multiple update particle filter: Position estimation by combining gnss pseudorange and carrier phase observations<\/strong>. 2024 IEEE International Conference on Robotics and Automation (ICRA), 13680-13686, 2024. IEEE<\/li><li>Suzuki, Taro; Kojima, Shotaro; Ohno, Kazunori; Miyamoto, Naoto; Suzuki, Takahiro; Asano, Kimitaka; Komatsu, Tomohiro; Kakizaki, Hiroto. <strong>Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers<\/strong>. Proceedings of the ION 2024 Pacific PNT Meeting, 65-74, 2024<\/li><li>Suzuki, Taro. <strong>Second place winner of the smartphone decimeter challenge: An open-source factor graph optimization package for gnss and imu integration in smartphones<\/strong>. Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024), 2703-2713, 2024<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><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. <strong>\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<\/strong>. \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><li>\u9234\u6728\u592a\u90ce. <strong>\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?<\/strong>. \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><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. <strong>\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<\/strong>. \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><\/ul>\n<h2 class=\"wp-block-heading\">2023<\/h2>\n<h3 class=\"wp-block-heading\">\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>Precise position estimation using smartphone raw GNSS data based on two-step optimization<\/strong>. Sensors 23(3), 1205, 2023. MDPI<\/li><li>Suzuki, Taro. <strong>Evaluation of L6 augmentation signal reception characteristics and positioning accuracy of compact and lightweight GNSS antennas<\/strong>. Scientific Reports 13(1), 21766, 2023. Nature Publishing Group UK London<\/li><li>Akiyama, Jin; Yuan, Zong; Naoki, Shinada; Suzuki, Taro; Yoshiharu, Amano. <strong>High-resolution point cloud registration method for three-dimensional piping measurements<\/strong>. Journal of Robotics and Mechatronics 35(6), 1655-1662, 2023. Fuji Technology Press Co. Ltd.<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Ozeki, Tomohiro; Kubo, Nobuaki; Suzuki, Taro; Ebinuma, Takuji; Takasu, Tomoji. <strong>Evaluation of the Actual Performance of PPP in Urban Areas Using Pocket SDR<\/strong>. Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), 3488-3498, 2023<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><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. <strong>\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<\/strong>. \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><li>\u8b1d\u82b1\u99ff\u4e4b\u4ecb; \u767d\u4e95\u5eb7\u4ecb; \u9234\u6728\u592a\u90ce; \u5869\u6fa4\u99ff\u4e00; \u5929\u91ce\u5609\u6625. <strong>\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<\/strong>. \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><li>\u5409\u7530\u667a\u7ae0; \u5165\u6c5f\u6e05; \u539f\u7965\u5c2d; \u9234\u6728\u592a\u90ce; \u53cb\u7d0d\u6b63\u88d5. <strong>\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<\/strong>. \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><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. <strong>\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<\/strong>. \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><li>\u79cb\u5c71\u4ec1; \u5b97\u6e90; \u9234\u6728\u592a\u90ce; \u5929\u91ce\u5609\u6625. <strong>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<\/strong>. \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><\/ul>\n<h2 class=\"wp-block-heading\">2022<\/h2>\n<h3 class=\"wp-block-heading\">\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>GNSS odometry: Precise trajectory estimation based on carrier phase cycle slip estimation<\/strong>. IEEE Robotics and Automation Letters 7(3), 7319-7326, 2022. IEEE<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Akegawa, Tetsu; Ohno, Kazunori; Kojima, Shotaro; Yamada, Kento; Go, Wiru; Suzuki, Taro; Kiribayashi, Seiga; Komatsu, Tomohiro; Miyamoto, Naoto; Suzuki, Takahiro. <strong>Path planning of the turning back of an autonomous large-scale six-wheeled dump truck for loading\/leaving sediment based on backhoe work<\/strong>. 2022 IEEE\/SICE International Symposium on System Integration (SII), 511-518, 2022. IEEE<\/li><li>Akegawa, Tetsu; Ohno, Kazunori; Kojima, Shotaro; Miyamoto, Naoto; Suzuki, Taro; Komatsu, Tomohiro; Suzuki, Takahiro; Shibata, Yukinori; Asano, Kimitaka; Tadokoro, Satoshi. <strong>Loading an Autonomous Large-Scale Dump Truck: Path Planning Based on Motion Data from Human-Operated Construction Vehicles<\/strong>. 2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), 6577-6584, 2022. IEEE<\/li><li>Suzuki, Taro. <strong>1st place winner of the smartphone decimeter challenge: Two-step optimization of velocity and position using smartphone\u2019s carrier phase observations<\/strong>. Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), 2276-2286, 2022<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>\u5165\u6c5f\u6e05; \u9234\u6728\u592a\u90ce; \u539f\u7965\u5c2d; \u5409\u7530\u667a\u7ae0; \u53cb\u7d0d\u6b63\u88d5. <strong>\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u5c4b\u5916\u5b9f\u74b0\u5883\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u5b9f\u9a13<\/strong>. \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><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. <strong>\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<\/strong>. \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><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. <strong>\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<\/strong>. \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><\/ul>\n<h2 class=\"wp-block-heading\">2021<\/h2>\n<h3 class=\"wp-block-heading\">\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro; Amano, Yoshiharu. <strong>NLOS multipath classification of GNSS signal correlation output using machine learning<\/strong>. Sensors 21(7), 2503, 2021. MDPI<\/li><li>Suzuki, Taro; Shiozawa, Shunichi; Yamaba, Atsushi; Amano, Yoshiharu. <strong>Forest data collection by uav lidar-based 3d mapping: segmentation of individual tree information from 3d point clouds<\/strong>. International journal of automation technology 15(3), 313-323, 2021. Fuji Technology Press Ltd.<\/li><li>Westfechtel, Thomas; Ohno, Kazunori; Akegawa, Tetsu; Yamada, Kento; Neto, Ranulfo Plutarco Bezerra; Kojima, Shotaro; Suzuki, Taro; Komatsu, Tomohiro; Shibata, Yukinori; Asano, Kimitaka. <strong>Semantic mapping of construction site from multiple daily airborne LiDAR data<\/strong>. IEEE Robotics and Automation Letters 6(2), 3073-3080, 2021. IEEE<\/li><li>Yamada, Kento; Ohno, Kazunori; Hamada, Ryunosuke; Plutarco Bezerra Neto, Ranulfo; Miyamoto, Naoto; Kojima, Shotaro; Suzuki, Taro; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori. <strong>An individual prediction model of the pre-loading motion for operator and backhoe pairs<\/strong>. Advanced Robotics 35(23), 1388-1403, 2021. Taylor &amp; Francis<\/li><li>Suzuki, Taro; Ohno, Kazunori; Kojima, Shotaro; Miyamoto, Naoto; Suzuki, Takahiro; Komatsu, Tomohiro; Shibata, Yukinori; Asano, Kimitaka; Nagatani, Keiji. <strong>Estimation of articulated angle in six-wheeled dump trucks using multiple GNSS receivers for autonomous driving<\/strong>. Advanced Robotics 35(23), 1376-1387, 2021. Taylor &amp; Francis<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Komatsu, Tomohiro; Konno, Yota; Kiribayashi, Seiga; Nagatani, Keiji; Suzuki, Takahiro; Ohno, Kazunori; Suzuki, Taro; Miyamoto, Naoto; Shibata, Yukinori; Asano, Kimitaka. <strong>Autonomous driving of six-wheeled dump truck with a retrofitted robot<\/strong>. Field and Service Robotics: Results of the 12th International Conference, 59-72, 2021. Springer Singapore Singapore<\/li><li>Suzuki, Taro. <strong>First place award winner of the smartphone decimeter challenge: Global optimization of position and velocity by factor graph optimization<\/strong>. Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), 2974-2985, 2021<\/li><li>Hsu, Li-Ta; Kubo, Nobuaki; Wen, Weisong; Chen, Wu; Liu, Zhizhao; Suzuki, Taro; Meguro, Junichi. <strong>UrbanNav: An open-sourced multisensory dataset for benchmarking positioning algorithms designed for urban areas<\/strong>. Proceedings of the 34th international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2021), 226-256, 2021<\/li><li>Suzuki, Taro. <strong>Robust vehicle positioning in multipath environments based on graph optimization<\/strong>. Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), 4223-4233, 2021<\/li><li>Suzuki, Taro; Ichikawa, Yuki; Komine, Akira; Takejima, Kiyoshi; Matsuoka, Shigeru; Akiyama, Kyohei; Matsumoto, Jun. <strong>Ranging and Demodulation Performance of QZSS L1C Signal in Forest\/Urban Environments<\/strong>. Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), 1927-1953, 2021<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u56fd\u5185\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>\u5b97\u6e90; \u54c1\u7530\u76f4\u6a39; \u9234\u6728\u592a\u90ce; \u5929\u91ce\u5609\u6625. <strong>\u5c0f\u578b UAV \u306b\u3088\u308b 3 \u6b21\u5143\u5730\u56f3\u3092\u7528\u3044\u305f\u914d\u7ba1\u7570\u5e38\u306e\u691c\u51fa<\/strong>. \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><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. <strong>\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<\/strong>. \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><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. <strong>\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<\/strong>. \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><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. <strong>\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<\/strong>. \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><\/ul>\n<h2 class=\"wp-block-heading\">2020\u5e74\u4ee5\u524d<\/h2>\n<h3 class=\"wp-block-heading\">\u4e3b\u8981\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro. <strong>Time-relative RTK-GNSS: GNSS loop closure in pose graph optimization<\/strong>. IEEE robotics and automation letters 5(3), 4735-4742, 2020. IEEE<\/li><li>Suzuki, Taro; Matsuo, Kazuki; Amano, Yoshiharu. <strong>Rotating GNSS antennas: Simultaneous LOS and NLOS multipath mitigation<\/strong>. GPS Solutions 24(3), 86, 2020. Springer Berlin Heidelberg Berlin\/Heidelberg<\/li><li>SUZUKI, Taro; TSUCHIYA, Takeshi; SUZUKI, Shinji; YAMABA, Atsushi. <strong>Vegetation classification using a small UAV based on superpixel segmentation and machine learning<\/strong>. Journal of the Remote Sensing Society of Japan 39(Supplement), S30-S42, 2019. The Remote Sensing Society of Japan<\/li><li>Suzuki, Taro. <strong>Mobile robot localization with GNSS multipath detection using pseudorange residuals<\/strong>. Advanced Robotics 33(12), 602-613, 2019. Taylor &amp; Francis<\/li><li>Kato, Shodai; Kitamura, Mitsunori; Suzuki, Taro; Amano, Yoshiharu. <strong>NLOS satellite detection using a fish-eye camera for improving GNSS positioning accuracy in urban area<\/strong>. Journal of robotics and mechatronics 28(1), 31-39, 2016. Fuji Technology Press Ltd.<\/li><li>Kubo, Nobuaki; Suzuki, Taro. <strong>Performance improvement of RTK-GNSS with IMU and vehicle speed sensors in an urban environment<\/strong>. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 99(1), 217-224, 2016. The Institute of Electronics, Information and Communication Engineers<\/li><li>Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Kubo, Nobuaki. <strong>Autonomous navigation of a mobile robot based on GNSS\/DR integration in outdoor environments<\/strong>. Journal of Robotics and Mechatronics 26(2), 214-224, 2014. Fuji Technology Press Ltd.<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Kubo, Nobuaki. <strong>Vehicle teleoperation using 3D maps and GPS time synchronization<\/strong>. IEEE computer graphics and applications 33(5), 82-88, 2013. IEEE<\/li><li>Kitamura, Mitsunori; Yasuoka, Yoichi; Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi. <strong>Path Planning for Autonomous Vehicles Using QZSS and Satellite Visibility Map.<\/strong>. J. Robotics Mechatronics 25(2), 400-407, 2013<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Suzuki, Shinji. <strong>3D terrain reconstruction by small unmanned aerial vehicle using SIFT-based monocular SLAM<\/strong>. Journal of Robotics and Mechatronics 23(2), 292-301, 2011. Fuji Technology Press<\/li><li>Kitamura, Mitsunori; Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi. <strong>Improvement of GPS and GLONASS positioning accuracy by multipath mitigation using omnidirectional InfraRed camera<\/strong>. Journal of Robotics and Mechatronics 23(6), 1125-1131, 2011. Fuji Technology Press<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi. <strong>6-DOF localization for a mobile robot using outdoor 3D point clouds<\/strong>. Journal of Robotics and Mechatronics 22(2), 158-166, 2010. Fuji Technology Press<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi; Suzuki, Shinji; Yamaba, Atsushi. <strong>Generation of large mosaic images for vegetation monitoring using a small unmanned aerial vehicle<\/strong>. Journal of Robotics and Mechatronics 22(2), 212-220, 2010. Fuji Technology Press<\/li><\/ul>\n<h3 class=\"wp-block-heading\">\u4e3b\u8981\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h3>\n<ul class=\"wp-block-list\"><li>Suzuki, Taro; Kusama, Kazuki; Amano, Yoshiharu. <strong>NLOS multipath detection using convolutional neural network<\/strong>. Proceedings of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2020), 2989-3000, 2020<\/li><li>Xu, Bing; Hsu, Li-Ta; Suzuki, Taro. <strong>Intermediate frequency level GPS multipath\/NLOS simulator based on vector tracking and ray tracing<\/strong>. Proceedings of the 2020 International Technical Meeting of The Institute of Navigation, 249-258, 2020<\/li><li>Yamada, Kento; Ohno, Kazunori; Miyamoto, Naoto; Suzuki, Taro; Kojima, Shotaro; Neto, Ranulfo Plutarco Bezerra; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori; Asano, Kimitaka. <strong>Attachable sensor boxes to visualize backhoe motion<\/strong>. 2020 IEEE\/SICE International Symposium on System Integration (SII), 706-711, 2020. IEEE<\/li><li>Yamada, Kento; Ohno, Kazunori; Hamada, Ryunosuke; Westfechtel, Thomas; Neto, Ranulfo Plutarco Bezerra; Miyamoto, Naoto; Suzuki, Taro; Suzuki, Takahiro; Nagatani, Keiji; Shibata, Yukinori. <strong>Prediction of backhoe loading motion via the beta-process hidden markov model<\/strong>. 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), 2663-2670, 2020. IEEE<\/li><li>Suzuki, Taro; Inoue, Daichi; Amano, Yoshiharu. <strong>Robust UAV position and attitude estimation using multiple GNSS receivers for laser-based 3D mapping<\/strong>. 2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), 4402-4408, 2019. IEEE<\/li><li>Suzuki, Taro. <strong>Particle filter-based GNSS positioning with NLOS multipath detection<\/strong>. Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018), 3385-3397, 2018<\/li><li>Suzuki, Taro; Nakano, Yusuke; Amano, Yoshiharu. <strong>NLOS multipath detection by using machine learning in urban environments<\/strong>. Proceedings of the 30th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2017), 3958-3967, 2017<\/li><li>Suzuki, Taro; Takahashi, Yusuke; Amano, Yoshiharu. <strong>Precise UAV position and attitude estimation by multiple GNSS receivers for 3D mapping<\/strong>. Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016), 1455-1464, 2016<\/li><li>Suzuki, Taro. <strong>Integration of GNSS positioning and 3D map using particle filter<\/strong>. Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016), 1296-1304, 2016<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>Simulation of GNSS satellite availability in urban environments using Google Earth<\/strong>. Proceedings of the ION 2015 Pacific PNT Meeting, 1069-1079, 2015<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>GNSS photo matching: Positioning using gnss and camera in urban canyon<\/strong>. Proceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2015), 2470-2480, 2015<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>N-LOS GNSS signal detection using fish-eye camera for vehicle navigation in urban environments<\/strong>. Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014), 1897-1906, 2014<\/li><li>Suzuki, Taro; Kubo, Nobuaki; Takasu, Tomoji. <strong>Evaluation of precise point positioning using MADOCA-LEX via Quasi-Zenith satellite system<\/strong>. Proceedings of the 2014 International Technical Meeting of the Institute of Navigation, 460-470, 2014<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>GNSS-SDRLIB: An open-source and real-time GNSS software defined radio library<\/strong>. Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014), 1364-1375, 2014<\/li><li>Kubo, Nobuaki; Hou, Rin; Suzuki, Taro. <strong>Decimeter level vehicle navigation combining multi-GNSS with existing sensors in dense urban areas<\/strong>. Proceedings of the 2014 International Technical Meeting of The Institute of Navigation, 450-459, 2014<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>Correcting GNSS multipath errors using a 3D surface model and particle filter<\/strong>. Proceedings of the 26th international technical meeting of the satellite division of The Institute of Navigation (ION GNSS+ 2013), 1583-1595, 2013<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>Precise point positioning for mobile robots using software GNSS receiver and QZSS LEX signal<\/strong>. 2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems, 369-375, 2013. IEEE<\/li><li>Suzuki, Taro; Kubo, Nobuaki. <strong>GNSS positioning with multipath simulation using 3D surface model in urban canyon<\/strong>. Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), 438-447, 2012<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi. <strong>Development of a SIFT based monocular EKF-SLAM algorithm for a small unmanned aerial vehicle<\/strong>. SICE Annual Conference 2011, 1656-1659, 2011. IEEE<\/li><li>Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi. <strong>High-accuracy GPS and GLONASS positioning by multipath mitigation using omnidirectional infrared camera<\/strong>. 2011 IEEE International Conference on Robotics and Automation, 311-316, 2011. IEEE<\/li><li>Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi. <strong>Multipath mitigation using omnidirectional infrared camera for tightly coupled GPS\/INS integration in urban environments<\/strong>. Proceedings of the 24th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2011), 2914-2922, 2011<\/li><li>Suzuki, Taro; Kitamura, Mitsunori; Amano, Yoshiharu; Hashizume, Takumi. <strong>6-DOF localization for a mobile robot using outdoor 3D voxel maps<\/strong>. 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, 5737-5743, 2010. IEEE<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Hashizume, Takumi. <strong>Vision based localization of a small UAV for generating a large mosaic image<\/strong>. Proceedings of SICE Annual Conference 2010, 2960-2964, 2010. IEEE<\/li><li>Suzuki, Taro; Amano, Yoshiharu; Takiguchi, Jun-ichi; Hashizume, Takumi; Suzuki, Shinji; Yamaba, Atsushi. <strong>Development of low-cost and flexible vegetation monitoring system using small unmanned aerial vehicle<\/strong>. 2009 ICCAS-SICE, 4808-4812, 2009. IEEE<\/li><li>Suzuki, Taro; Meguro, Jun-ichi; Amano, Yoshiharu; Hashizume, Takumi; Kubo, Daisuke; Tsuchiya, Takeshi; Suzuki, Shinji; Hirokawa, Rui; Tatsumi, Kaoru; Sato, Koichi. <strong>Development of information collecting system using a small unmanned aerial vehicle for disaster prevention and mitigation<\/strong>. Journal of the robotics society of Japan 26(6), 553-560, 2008. 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IEEE<\/li><\/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","sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","vkExUnit_sitemap":"","_veu_custom_css":"","veu_display_promotion_alert":"common","_exclude_from_list_pages":"","vkexunit_cta_each_option":"","vkExUnit_childPageIndex":"","vkExUnit_pageList_ancestor":"","vkExUnit_contact_enable":"","_lightning_design_setting":{"layout":"default"},"footnotes":""},"class_list":["post-50","page","type-page","status-publish","hentry","ja"],"veu_head_title_object":{"title":"","add_site_title":""},"_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":0,"href":"https:\/\/taroz.net\/index.php\/wp-json\/wp\/v2\/pages\/50\/revisions"}],"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}]}}