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2014
Prediction of the meta-stability phase through analysis of driving behavior
Ito, T. & Kaneyasu, R., 2014.Research output: Contribution to conference › Paper › peer-review
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2015
Effective method for rear-end collision warning system
Ito, T. & Osawa, K., 2015, In: Procedia Computer Science. 60, 1, p. 700-707 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access5 Citations (Scopus) -
2016
A Study of a Driver Model Using Unconscious Driving Behaviors
Ito, T. & Yamazaki, K., 2016, In: Procedia Computer Science. 96, p. 754-761 8 p.Research output: Contribution to journal › Article › peer-review
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Improving function detecting object for AGV
Varagul, J. & Ito, T., 2016, p. 24-33. 10 p.Research output: Contribution to conference › Paper › peer-review
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Simulation of Detecting Function object for AGV Using Computer Vision with Neural Network
Varagul, J. & Ito, T., 2016, In: Unknown Journal. 96, p. 159-168 10 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Time Required for Take-over from Automated to Manual Driving
Ito, T., Takata, A. & Oosawa, K., 2016 Apr 5, SAE 2016 World Congress and Exhibition. April ed. SAE International, Vol. 2016-April.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
10 Citations (Scopus) -
2017
General object detection method by on-board computer vision with Artificial Neural Networks
Varagul, J. & Ito, T., 2017 Jan 1, In: International Journal of Automotive Engineering. 8, 4, p. 149-156 8 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Predicting traffic congestion using driver behavior
Ito, T. & Kaneyasu, R., 2017 Jan 1, In: Procedia Computer Science. 112, p. 1288-1297 10 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
2018
Raising driver attentiveness with unconscious learning effect
Ito, T. & Sudo, S., 2018, In: Procedia Computer Science. 126, p. 891-898 8 p.Research output: Contribution to journal › Conference article › peer-review
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2020
Artificial potential field with discrete map transformation for feasible indoor path planning
Azmi, M. Z. & Ito, T., 2020 Dec 2, In: Applied Sciences (Switzerland). 10, 24, p. 1-13 13 p., 8987.Research output: Contribution to journal › Article › peer-review
Open Access