Moving object prediction device, hypothetical movable object prediction device, program, moving object prediction method and hypothetical movable object prediction method T Shimizu, Y Ohama, S Nagata, M Shimizu, J Sakugawa US Patent US9424468B2, 2013 | 102 | 2013 |
Ego-motion estimation and moving object tracking using multi-layer lidar T Miyasaka, Y Ohama, Y Ninomiya 2009 IEEE intelligent vehicles symposium, 151-156, 2009 | 97 | 2009 |
Mobile object target state determination device and program Y Ohama, T Shimizu, S Nagata, T Kaminade US Patent US9132775B2, 2013 | 41 | 2013 |
Toward a practical wall see-through system for drivers: How simple can it be? H Yasuda, Y Ohama 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2012 | 18 | 2012 |
Driving support system S Nagata, Y Kumai, T Shimizu, Y Ohama US Patent US9586582B2, 2015 | 13 | 2015 |
A Forward-Propagation Learning Rule for Neural Inverse Models Using a Method of Recursive Least-Squares Y Ohama, N Fukumura, Y Uno IEICE TRANSACTIONS on Information and Systems 87 (2), 726-734, 2004 | 8* | 2004 |
A Computational Framework for Estimating Collision Risk against Pedestrians T Shimizu, Y Ohama, S Nagata, J Sakugawa R&D Review of Toyota CRDL 43 (1), 33-42, 2012 | 6 | 2012 |
一般ドライバの不安全運転行動の分析と運転指導による行動変容効果の測定 國分三輝, 大濱吉紘, 樋口和則 自動車技術会論文集 40 (2), 561-566, 2009 | 6* | 2009 |
教習所指導員の運転診断ノウハウに基づいた一般ドライバ向け安全運転評価指標の検討 國分三輝, 大濱吉紘, 樋口和則, 佐々木和也 自動車技術会論文集 40 (6), 1623-1628, 2009 | 5 | 2009 |
A simplified forward-propagation learning rule applied to adaptive closed-loop control Y Ohama, N Fukumura, Y Uno International Conference on Artificial Neural Networks, 437-443, 2005 | 5 | 2005 |
Learning of Real Robot's Inverse Dynamics by a Forward-Propagation Learning Rule H Mori, Y Ohama, N Fukumura, Y Uno IEEJ Transactions on Electronics, Information and Systems 125, 1861-1870, 2005 | 5* | 2005 |
A Hierarchical Threat Assessment Architecture for Driver Assistance Systems in Urban Areas Y Ohama, A Takahashi, M Kokubun, T Naito 15th World Congress on Intelligent Transport Systems and ITS America's 2008 …, 2008 | 4 | 2008 |
A Forward-propagation Learning Rule for Neural Inverse Models in Consideration of the Correlation of Propagated Errors Y Ohama, N Fukumura, Y Uno IEICE TRANSACTIONS on Information and Systems 88 (2), 218-229, 2005 | 4* | 2005 |
A forward-propagation rule for acquiring neural inverse models using a RLS algorithm Y Ohama, N Fukumura, Y Uno Neural Information Processing: 11th International Conference, ICONIP 2004 …, 2004 | 4 | 2004 |
Improvements in Perpendicular Reverse Parking by Directing Drivers’ Preliminary Behavior Y Ohama, K Tanaka, H Yasuda, K Obata, N Fukumura IEEE Access 9, 92003-92016, 2021 | 3 | 2021 |
Multiple Object Tracking with Cameras Mounted on Vehicles for Generating a Local Dynamic Map A Nakamura, S Taguchi, Y Ohama, M Araki, K Goto FAST-zero'19: 5th International Symposium on Future Active Safety …, 2019 | 3 | 2019 |
Pedestrain Behavior Generation Method for Estimating Collision Probability on Road Environment Y Ohama, T Shimizu, S Nagata, J Sakugawa FAST-zero'11: 1st International Symposium on Future Active Safety Technology …, 2011 | 3 | 2011 |
一般道における運転指導員の運転行動分析 - その1.速度決定要因 - 清水司, 大濱吉紘, 藤枝延維 自動車技術会学術講演会前刷集, 11-14, 2011 | 3* | 2011 |
A parallel forward-backward propagation learning scheme for auto-encoders Y Ohama, T Yoshimura Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 2 | 2017 |
自動車の IoT 化が生み出すユーザ体験のプロトタイピング: 持ち寄ったモノを通じた乗員間コミュニケーション 大濱吉紘, 安田浩志 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (471), 41-46, 2016 | 2 | 2016 |