年別の研究成果
年別の研究成果
フィンガープリント
Masafumi Nakagawaが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
- 1 類似のプロファイル
ネットワーク
国/地域レベルにおける最近の外部共同研究。点をクリックして詳細を開くか、または
-
Automated correction of the bridge slab-bending effect using terrestrial laser scanning
Nakagawa, M., Sasaki, K., Matsuda, S., Ito, H., Yamaguchi, Y. & Kurita, K., 2021, Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020. Yokota, H. & Frangopol, D. M. (eds.). CRC Press/Balkema, p. 2978-2983 6 p. (Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020).研究成果: Conference contribution
-
LIDAR SCAN MATCHING with PPP-RTK for 3D FARM MAPPING
Nakagawa, M., Yokoyama, S., Ozeki, T., Kubo, N., Namie, H., Yoshida, M. & Iwaki, Y., 2021, 42nd Asian Conference on Remote Sensing, ACRS 2021. Asian Association on Remote Sensing, (42nd Asian Conference on Remote Sensing, ACRS 2021).研究成果: Conference contribution
-
MODEL-BASED POINT CLOUD RECONSTRUCTION of EXCAVATION SITE for BURIED PIPE MANAGEMENT
Kurita, K. & Nakagawa, M., 2021, 42nd Asian Conference on Remote Sensing, ACRS 2021. Asian Association on Remote Sensing, (42nd Asian Conference on Remote Sensing, ACRS 2021).研究成果: Conference contribution
-
MOTION DETECTION and TRACKING in CONSTRUCTION SPACE USING TEMPORAL POINT CLOUDS
Ozaki, G. & Nakagawa, M., 2021, 42nd Asian Conference on Remote Sensing, ACRS 2021. Asian Association on Remote Sensing, (42nd Asian Conference on Remote Sensing, ACRS 2021).研究成果: Conference contribution
1 被引用数 (Scopus) -
PERFORMANCE IMPROVEMENT of VISUAL ODOMETRY with IMU-STEREO CAMERA for INDOOR UAV
Saito, K., Ozaki, G., Okudaira, K. & Nakagawa, M., 2021, 42nd Asian Conference on Remote Sensing, ACRS 2021. Asian Association on Remote Sensing, (42nd Asian Conference on Remote Sensing, ACRS 2021).研究成果: Conference contribution