Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

Traffic Scenes Classification for Self-driving Car

Authors
Hongbo Lv, Xiaolin Zhuang, Huifang Cao
Corresponding Author
Hongbo Lv
Available Online January 2016.
DOI
https://doi.org/10.2991/icsmim-15.2016.25How to use a DOI?
Keywords
Traffic Scenes Classification, Self-driving Car, Road Network Definition
Abstract

In this paper, machine learning model is applied to label the attributes of traffic scenes automatically in the RNDF (Road Network Definition File), which is used in the self-driving car. The “gist” features extracted from one image of the video stream are used as the model’s input. In the experiments, the test model is SVM (Support Vector Machine) and the training and test samples are from the FM2 database. The experiments verify the feasibility and effectiveness of this method.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icsmim-15.2016.25How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongbo Lv
AU  - Xiaolin Zhuang
AU  - Huifang Cao
PY  - 2016/01
DA  - 2016/01
TI  - Traffic Scenes Classification for Self-driving Car
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 130
EP  - 133
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.25
DO  - https://doi.org/10.2991/icsmim-15.2016.25
ID  - Lv2016/01
ER  -