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 :
بازگشت