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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-14
10:00
Misc. Kikai-Shinko-Kaikan Bldg. Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM
Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] MSS2023-86 NLP2023-138
pp.71-76
MSS, NLP 2022-03-28
09:40
Online Online Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data
Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127
The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based... [more] MSS2021-56 NLP2021-127
pp.7-12
PRMU, IPSJ-CVIM 2021-03-05
15:40
Online Online An approach for predicting traffic accidents at intersections with 360 degree panorama images
Daiki Tanaka, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2020-97
In this study, we used deep learning to predict traffic accidents. Traffic accidents are caused by a complex combination... [more] PRMU2020-97
pp.158-163
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