狠狠撸shows by User: wonjaein / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: wonjaein / Mon, 15 Mar 2021 04:23:10 GMT 狠狠撸Share feed for 狠狠撸shows by User: wonjaein 惭尝基本から搁别蝉狈别迟まで /slideshow/mlresnet/244395487 210325-1-aistudy-full-ppt-cho-210315042310
社内勉强会のため、準备した资料でございます。本资料で引用した図およびデータのライセンスは原作者に帰属されています。闭闭>
社内勉强会のため、準备した资料でございます。本资料で引用した図およびデータのライセンスは原作者に帰属されています。闭闭> Mon, 15 Mar 2021 04:23:10 GMT /slideshow/mlresnet/244395487 wonjaein@slideshare.net(wonjaein) 惭尝基本から搁别蝉狈别迟まで wonjaein 社内勉强会のため、準备した资料でございます。本资料で引用した図およびデータのライセンスは原作者に帰属されています。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/210325-1-aistudy-full-ppt-cho-210315042310-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 社内勉强会のため、準备した资料でございます。本资料で引用した図およびデータのライセンスは原作者に帰属されています。
惭尝基本から搁别蝉狈别迟まで from Institute of Agricultural Machinery, NARO
]]> 60 0 https://cdn.slidesharecdn.com/ss_thumbnails/210325-1-aistudy-full-ppt-cho-210315042310-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Feature Pyramid Network, FPN /slideshow/feature-pyramid-network-fpn/237133698 20200723-fpn-200722050403
paper: https://arxiv.org/abs/1612.03144]]>
paper: https://arxiv.org/abs/1612.03144]]> Wed, 22 Jul 2020 05:04:03 GMT /slideshow/feature-pyramid-network-fpn/237133698 wonjaein@slideshare.net(wonjaein) Feature Pyramid Network, FPN wonjaein paper: https://arxiv.org/abs/1612.03144 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20200723-fpn-200722050403-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> paper: https://arxiv.org/abs/1612.03144
Feature Pyramid Network, FPN from Institute of Agricultural Machinery, NARO
]]> 505 0 https://cdn.slidesharecdn.com/ss_thumbnails/20200723-fpn-200722050403-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Review: Deep contextualized word representations /slideshow/review-deep-contextualized-word-representations/232208965 20200416-elmo-200418015217
ELMo ?? ???.]]>
ELMo ?? ???.]]> Sat, 18 Apr 2020 01:52:17 GMT /slideshow/review-deep-contextualized-word-representations/232208965 wonjaein@slideshare.net(wonjaein) Review: Deep contextualized word representations wonjaein ELMo ?? ???. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20200416-elmo-200418015217-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ELMo ?? ???.
Review: Deep contextualized word representations from Institute of Agricultural Machinery, NARO
]]> 50 0 https://cdn.slidesharecdn.com/ss_thumbnails/20200416-elmo-200418015217-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 LeNet & GoogLeNet /wonjaein/lenet-googlenet 20200206-lenet-googlenet-200205131954
??? ?? ??? ?? ???. LeNet-5 ? GoogLeNet? ???? ???????.]]>
??? ?? ??? ?? ???. LeNet-5 ? GoogLeNet? ???? ???????.]]> Wed, 05 Feb 2020 13:19:54 GMT /wonjaein/lenet-googlenet wonjaein@slideshare.net(wonjaein) LeNet & GoogLeNet wonjaein ??? ?? ??? ?? ???. LeNet-5 ? GoogLeNet? ???? ???????. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20200206-lenet-googlenet-200205131954-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ??? ?? ??? ?? ???. LeNet-5 ? GoogLeNet? ???? ???????.
LeNet & GoogLeNet from Institute of Agricultural Machinery, NARO
]]> 129 0 https://cdn.slidesharecdn.com/ss_thumbnails/20200206-lenet-googlenet-200205131954-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ソフトウェアプラットフォームを用いたコンバインロボットの制御 /slideshow/ss-48433111/48433111 cho201501092final-150521124056-lva1-app6892
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]]> Thu, 21 May 2015 12:40:56 GMT /slideshow/ss-48433111/48433111 wonjaein@slideshare.net(wonjaein) ソフトウェアプラットフォームを用いたコンバインロボットの制御 wonjaein <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cho201501092final-150521124056-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
ソフトウェアプラットフォームを用いたコンバインロボットの制御 from Institute of Agricultural Machinery, NARO
]]> 446 1 https://cdn.slidesharecdn.com/ss_thumbnails/cho201501092final-150521124056-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Integrated Sensor Control Platform for Head-feeding Combine Harvester /slideshow/the-integrated-sensor-control-platform-for-headfeeding-combine-harvester/35045348 4presentation01-140523085231-phpapp02
]]>
]]> Fri, 23 May 2014 08:52:31 GMT /slideshow/the-integrated-sensor-control-platform-for-headfeeding-combine-harvester/35045348 wonjaein@slideshare.net(wonjaein) The Integrated Sensor Control Platform for Head-feeding Combine Harvester wonjaein <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4presentation01-140523085231-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
The Integrated Sensor Control Platform for Head-feeding Combine Harvester from Institute of Agricultural Machinery, NARO
]]> 603 2 https://cdn.slidesharecdn.com/ss_thumbnails/4presentation01-140523085231-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ロボットコンバインのためのソフトプラットホーム开発 /slideshow/lab-1-0final/28394726 lab10final-131118204317-phpapp01
ロボットコンバインが正確に目標地点まで収穫するためには、コンバインに取り付けたセンサーを用いて現在の環境をリアルタイムに把握することが重要である．よって、本研究では、取り付けた様々なセンサーから収集されたセンサーデータを融合して、現在位置を基準とした3次元マッピングをしながら収穫ガイドラインを生成することができるIntegrate Sensor Control Platform (ISCP)を提案する．]]>
ロボットコンバインが正確に目標地点まで収穫するためには、コンバインに取り付けたセンサーを用いて現在の環境をリアルタイムに把握することが重要である．よって、本研究では、取り付けた様々なセンサーから収集されたセンサーデータを融合して、現在位置を基準とした3次元マッピングをしながら収穫ガイドラインを生成することができるIntegrate Sensor Control Platform (ISCP)を提案する．]]> Mon, 18 Nov 2013 20:43:17 GMT /slideshow/lab-1-0final/28394726 wonjaein@slideshare.net(wonjaein) ロボットコンバインのためのソフトプラットホーム开発 wonjaein ロボットコンバインが正確に目標地点まで収穫するためには、コンバインに取り付けたセンサーを用いて現在の環境をリアルタイムに把握することが重要である．よって、本研究では、取り付けた様々なセンサーから収集されたセンサーデータを融合して、現在位置を基準とした3次元マッピングをしながら収穫ガイドラインを生成することができるIntegrate Sensor Control Platform (ISCP)を提案する． <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lab10final-131118204317-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ロボットコンバインが正確に目標地点まで収穫するためには、コンバインに取り付けたセンサーを用いて現在の環境をリアルタイムに把握することが重要である．よって、本研究では、取り付けた様々なセンサーから収集されたセンサーデータを融合して、現在位置を基準とした3次元マッピングをしながら収穫ガイドラインを生成することができるIntegrate Sensor Control Platform (ISCP)を提案する．
ロボットコンバインのためのソフトプラットホーム开発 from Institute of Agricultural Machinery, NARO
]]> 886 2 https://cdn.slidesharecdn.com/ss_thumbnails/lab10final-131118204317-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A vision-based uncut crop edge detection method for automated guidance of head-feeding combine /slideshow/lab-0-8/23548005 lab08-130626214123-phpapp01
2013-04-15 Lab. Seminar]]>
2013-04-15 Lab. Seminar]]> Wed, 26 Jun 2013 21:41:23 GMT /slideshow/lab-0-8/23548005 wonjaein@slideshare.net(wonjaein) A vision-based uncut crop edge detection method for automated guidance of head-feeding combine wonjaein 2013-04-15 Lab. Seminar <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lab08-130626214123-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2013-04-15 Lab. Seminar
A vision-based uncut crop edge detection method for automated guidance of head-feeding combine from Institute of Agricultural Machinery, NARO
]]> 1033 2 https://cdn.slidesharecdn.com/ss_thumbnails/lab08-130626214123-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A multi-sensor based uncut crop edge detection method for head-feeding combine harvester /wonjaein/lab-1-020130626 lab1020130626-130626213243-phpapp02
2013-06-26 laboratory seminar]]>
2013-06-26 laboratory seminar]]> Wed, 26 Jun 2013 21:32:43 GMT /wonjaein/lab-1-020130626 wonjaein@slideshare.net(wonjaein) A multi-sensor based uncut crop edge detection method for head-feeding combine harvester wonjaein 2013-06-26 laboratory seminar <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lab1020130626-130626213243-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2013-06-26 laboratory seminar
A multi-sensor based uncut crop edge detection method for head-feeding combine harvester from Institute of Agricultural Machinery, NARO
]]> 1292 2 https://cdn.slidesharecdn.com/ss_thumbnails/lab1020130626-130626213243-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 100519 ver final /slideshow/100519-ver-final/4449366 100519verfinal-100609055511-phpapp01
This paper presents a simulation on the relative location recognition of multi-robots using MRDS (Microsoft Robotics Developer Studio). Multiple robots allow a more robust recognition of their relative locations in accuracy and performance compared to having just a single robot client. However, in order to experiment with a cooperative robot system that utilizes multiple robots units, there are constraints relating to large initial production costs for the robot units as well as having to secure a certain size of space for the experiment. This paper has resolved those issues by performing the multi-robot relative location recognition experiment in a simulated virtual space using MRDS, a robot application tool. Moreover, relative coordinates of robots were recognized by using omni-directional panoramic vision sensors on the simulation program]]>
This paper presents a simulation on the relative location recognition of multi-robots using MRDS (Microsoft Robotics Developer Studio). Multiple robots allow a more robust recognition of their relative locations in accuracy and performance compared to having just a single robot client. However, in order to experiment with a cooperative robot system that utilizes multiple robots units, there are constraints relating to large initial production costs for the robot units as well as having to secure a certain size of space for the experiment. This paper has resolved those issues by performing the multi-robot relative location recognition experiment in a simulated virtual space using MRDS, a robot application tool. Moreover, relative coordinates of robots were recognized by using omni-directional panoramic vision sensors on the simulation program]]> Wed, 09 Jun 2010 05:55:02 GMT /slideshow/100519-ver-final/4449366 wonjaein@slideshare.net(wonjaein) 100519 ver final wonjaein This paper presents a simulation on the relative location recognition of multi-robots using MRDS (Microsoft Robotics Developer Studio). Multiple robots allow a more robust recognition of their relative locations in accuracy and performance compared to having just a single robot client. However, in order to experiment with a cooperative robot system that utilizes multiple robots units, there are constraints relating to large initial production costs for the robot units as well as having to secure a certain size of space for the experiment. This paper has resolved those issues by performing the multi-robot relative location recognition experiment in a simulated virtual space using MRDS, a robot application tool. Moreover, relative coordinates of robots were recognized by using omni-directional panoramic vision sensors on the simulation program <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/100519verfinal-100609055511-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This paper presents a simulation on the relative location recognition of multi-robots using MRDS (Microsoft Robotics Developer Studio). Multiple robots allow a more robust recognition of their relative locations in accuracy and performance compared to having just a single robot client. However, in order to experiment with a cooperative robot system that utilizes multiple robots units, there are constraints relating to large initial production costs for the robot units as well as having to secure a certain size of space for the experiment. This paper has resolved those issues by performing the multi-robot relative location recognition experiment in a simulated virtual space using MRDS, a robot application tool. Moreover, relative coordinates of robots were recognized by using omni-directional panoramic vision sensors on the simulation program
100519 ver final from Institute of Agricultural Machinery, NARO
]]> 462 2 https://cdn.slidesharecdn.com/ss_thumbnails/100519verfinal-100609055511-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-wonjaein-48x48.jpg?cb=1649997204 戦略的イノベーション創造プログラム（SIP：エスアイピー, Cross-ministerial Strategic Innovation Promotion Program）を参加しています。 robotstory.tistory.com https://cdn.slidesharecdn.com/ss_thumbnails/210325-1-aistudy-full-ppt-cho-210315042310-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mlresnet/244395487 惭尝基本から搁别蝉狈别迟まで https://cdn.slidesharecdn.com/ss_thumbnails/20200723-fpn-200722050403-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/feature-pyramid-network-fpn/237133698 Feature Pyramid Networ... https://cdn.slidesharecdn.com/ss_thumbnails/20200416-elmo-200418015217-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/review-deep-contextualized-word-representations/232208965 Review: Deep contextua...