CHASE Algorithm: "Ease of Driving" Classification

In this paper, the authors present the concept of "Ease of Driving" or EoD rating for road scene environment. The authors 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 the authors 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.

• Record URL:
  https://doi.org/10.1109/ITSC.2015.111
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Yalla, Veera Ganesh
  • Pillai, Preeti J
  • Oguchi, Kentaro
• Conference:
  • 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: Canary Islands , Spain
  • Date: 2015-9-15 to 2015-9-18
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 644-649
• Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

• TRT Terms: Algorithms; Automobile navigation systems; Computer vision; Driving; Intelligent vehicles; Machine learning
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01604658
• Record Type: Publication
• ISBN: 9781467365956
• Files: TRIS
• Created Date: May 2 2016 3:26PM