Road Boundary Detection and Tracking Using Deep Learning

This project is a collaboration research with Active Intelligent System Laboratory, Toyohashi University of Technology, Japan. The goal is to detect and track an unstructured road boundary, mainly for robotic and intelligent vehicle navigation system.

Related paper:
[To be added upon publication]

2020/08/03: Dr. Igi was certified by AWS Cloud Practitioner, with Validation Number P656JB91PN4QQFCS
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2019/07/06: Dr. Igi went to National Taipei University of Technology untuk Collaborative research in Big Data Analytics
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2018/11/24: Dr. Igi gave training on Deep Learning for Visual Inspection at PT Musashi Auto Parts Indonesia
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2018/11/24: Dr. Igi gave two days training on Machine Learning with Python, in collaboration with PT Floataway Systems
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2018/08/30 : Dr. Igi attended NVIDIA AI Technology Center (NVAITC) Symposium, Singapore
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2017/11/06 : We receive NVIDIA GPU Grant !!!
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2017/04/22 : Our paper on Deep Learning for Diabetic Retinopathy was accepted for publication in The 39th International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2017)
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2017/03/03 : Our paper on Deep Learning for Road Segmentation was invited and accepted for publication in IPSJ Transactions on Computer Vision and Applications, Springer.
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2017/02/27 :Our paper on Generalized Coverage Problem was accepted for publication in International Journal of Innovative Computing, Information and Control (Q1 Scimago).
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2017/02/13 : Our paper on Deep Learning for Road Segmentation was accepted for MVA 2017 in Nagoya.
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2015/08/25 : I have finished the public presentation for my doctoral degree.
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2015/06/04 : I have finished the preliminary presentation for my doctoral degree.
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2015/05/21 : I attended The 14th IAPR Conference on Machine Vision and Application, Tokyo and presented a paper "Human Motion Prediction Considering Environmental Context".
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IGI's Portal

Robotics, Intelligent Vehicles, and Computer Vision

Road Boundary Detection and Tracking Using Deep Learning