Examination of How to Estimate the Viewing Angle at Intersections

We are considering a system capable of providing a route of minimum driving risk to reduce accidents of elderly drivers. In this system, mapping the driving risk is an important issue so that it is necessary to estimate the risk level of intersection without traffic signal where accidents occur freq...

Full description

Saved in:
Bibliographic Details
Published in2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) pp. 729 - 733
Main Authors Goto, Shinichiro, Murata, Yuki, Atsumi, Masayasu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Elderly Driver
image processing
road environment
Safety
Online AccessGet full text

Cover

More Information
Summary:We are considering a system capable of providing a route of minimum driving risk to reduce accidents of elderly drivers. In this system, mapping the driving risk is an important issue so that it is necessary to estimate the risk level of intersection without traffic signal where accidents occur frequently. To estimate the risk level of intersections, the viewing environment, especially the viewing angle, has a big influence. We plan the automatic generating method to predict the viewing angle from the Google Street View using latest computer vision approach. We try to predict the viewing angle to recognize the shield objects by using Semantic Segmentation.
DOI:10.1109/SCIS-ISIS.2018.00121