#author("2019-05-31T17:23:14+09:00","default:asl_member","asl_member")
#author("2019-08-29T17:09:38+09:00","default:asl_member","asl_member")
[[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.


I propose low-scale NN architecture considering real-time processing and recognition accuracy  for HW implementation.


*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 [finished] &ref(read_paper_jsaito.pdf);
--Simulate Murakami's  work, May 31, 2019 [finished]
--Propose own system architecture july 31, 2019
--''MS exam ducuemnet preparation (recommenation, research proposal and plan), From June 3 - ''
--Implement own system architecture, july 31, 2019
--Simulate,August 31
--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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