Jun Saito
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https://adaptive.u-aizu.ac.jp/aslint/index.php?Jun+Saito
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[[ASL Wiki]] CENTER:SIZE(40){COLOR(green){Intelligent Recognition of Traffic Hand Sign Command Based on Convolution Neural Network System for Sef-driving Cars}} *Research Bakground [#v2d18f30] Automatic driving is one of the recent research trends. in this situation, human hand sign(police hand sign) is one of the important factors in autoatic operation. *Research Goal and Schedule [#kdbed871] To develop a hand sign neural network architectyure for self driving vehicles. -Research steps and schedule --Read papers, May 31, 2019 [done] &ref(read_paper_jsaito.pdf); --Simulate Murakami's work, May 31, 2019 [done] --Propose own system architecture july 31, 2019 [done] --Created dataset for handsign recognition september 30,2019 --Implement own system architecture, september 30, 2019 --Simulate,september 30,2019 --Write GT thesis **Robot Car [#l65ee22c] -[[Robot Car Platform>https://adaptive.u-aizu.ac.jp/aslint/index.php?Autonomous%20Vehicles%20and%20Mobile%20Land/Aerial%20Robots/Drones%20%40%20ASL]] *References [#g3d35207] -Yuji Murakami, Yuichi Okuyama, Abderazek Ben Abdallah, ''SRAM Based Neural Network System for Traffic-Light Recognition in Autonomous Vehicles'', Information Processing Society Tohoku Branch Conference, Feb. 10, 2018. [[slides.pdf>https://adaptive.u-aizu.ac.jp/aslwp/wp-content/uploads/2018/02/Y.Murakami_IPSJ2018_slides.pdf]] -Yuji Murakami, '' Design of a Neural Network Architecture for Traffic Light Detection Towards Autonomous Driving Vehicles,'' Master's Thesis, Graduate School of Computer Science and Engineering, The University of Aizu, 3/2019 -[[Traffic Command Gesture Recognition for Virtual Urban Scenes Based on a Spatiotemporal Convolution Neural Network>https://drive.google.com/file/d/10GJ0d7Le5GrSp8ScwnSoh7Ymyf8ERR-e/view?usp=sharing]] -[[Source code: Character Recognition FF Neural Netwokr>https://drive.google.com/drive/folders/1OKikrf5IU8kyokuvnxWFatTbCjH1NoCy?usp=sharing]],M. Yamada, BS, 2018 -
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[[ASL Wiki]] CENTER:SIZE(40){COLOR(green){Intelligent Recognition of Traffic Hand Sign Command Based on Convolution Neural Network System for Sef-driving Cars}} *Research Bakground [#v2d18f30] Automatic driving is one of the recent research trends. in this situation, human hand sign(police hand sign) is one of the important factors in autoatic operation. *Research Goal and Schedule [#kdbed871] To develop a hand sign neural network architectyure for self driving vehicles. -Research steps and schedule --Read papers, May 31, 2019 [done] &ref(read_paper_jsaito.pdf); --Simulate Murakami's work, May 31, 2019 [done] --Propose own system architecture july 31, 2019 [done] --Created dataset for handsign recognition september 30,2019 --Implement own system architecture, september 30, 2019 --Simulate,september 30,2019 --Write GT thesis **Robot Car [#l65ee22c] -[[Robot Car Platform>https://adaptive.u-aizu.ac.jp/aslint/index.php?Autonomous%20Vehicles%20and%20Mobile%20Land/Aerial%20Robots/Drones%20%40%20ASL]] *References [#g3d35207] -Yuji Murakami, Yuichi Okuyama, Abderazek Ben Abdallah, ''SRAM Based Neural Network System for Traffic-Light Recognition in Autonomous Vehicles'', Information Processing Society Tohoku Branch Conference, Feb. 10, 2018. [[slides.pdf>https://adaptive.u-aizu.ac.jp/aslwp/wp-content/uploads/2018/02/Y.Murakami_IPSJ2018_slides.pdf]] -Yuji Murakami, '' Design of a Neural Network Architecture for Traffic Light Detection Towards Autonomous Driving Vehicles,'' Master's Thesis, Graduate School of Computer Science and Engineering, The University of Aizu, 3/2019 -[[Traffic Command Gesture Recognition for Virtual Urban Scenes Based on a Spatiotemporal Convolution Neural Network>https://drive.google.com/file/d/10GJ0d7Le5GrSp8ScwnSoh7Ymyf8ERR-e/view?usp=sharing]] -[[Source code: Character Recognition FF Neural Netwokr>https://drive.google.com/drive/folders/1OKikrf5IU8kyokuvnxWFatTbCjH1NoCy?usp=sharing]],M. Yamada, BS, 2018 -
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添付ファイル:
read_paper_jsaito.pdf
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