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Intelligent Recognition of Traffic Hand Sign Command Based on Convolution Neural Network System for Sef-driving Cars
Research Bakground†
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†
To develop a hand sign neural network architectyure for self driving vehicles.
- Research steps and schedule
- Read papers, May 31, 2019 [finished]
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
- Write GT thesis
Robot Car†
References†
- 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
- 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