DocumentCode
3681674
Title
CHASE Algorithm: "Ease of Driving" Classification
Author
Veera Ganesh Yalla;Preeti J. Pillai;Kentaro Oguchi
Author_Institution
Intell. Comput. Div., Toyota InfoTechnology Center USA, Mountain View, CA, USA
fYear
2015
Firstpage
644
Lastpage
649
Abstract
In this paper, we present the concept of "Ease of Driving" or EoD rating for road scene environment. We introduce the Classification by Holistic Analysis of Scene Environment (CHASE) algorithm to automatically classify the EoD rating using computer vision and machine learning techniques. With the CHASE algorithm we were able to achieve an accuracy of 86.84 % to classify the EoD. In the near future, EoD information will be used to create better navigation services to improve the driving comfort and mobility by leveraging the existing camera sensors in the car.
Keywords
"Roads","Classification algorithms","Cameras","Vehicles","Algorithm design and analysis","Heuristic algorithms","Semantics"
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN
2153-0009
Electronic_ISBN
2153-0017
Type
conf
DOI
10.1109/ITSC.2015.111
Filename
7313203
Link To Document