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Analyzing the Applicability of Smartphone Sensors for Roadway Obstacle Identification in an Infrastructure-Free Environment Using a Soft Learning Approach

  • Chandra Kishor Pandey
  • Neeraj Kumar
  • Vinay Kumar Mishra
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 771)

Abstract

Modern-day smartphones are inbuilt with numerous sensors capable of identifying critical information from various fields. Smartphone sensors are cheap, handy, easily available and therefore useful for several purposes. Smartphone sensors can be used to identify roadway obstacles and assist vehicle drivers in handling various obstacles while driving. In this study, we analyzed the applicability of smartphone sensors to assess their usefulness in reference to roadway obstacle detection in an infrastructure-free environment using a soft learning approach. Using our approach, we found that an accelerometer, CMOS and localization sensors are the most useful and cost-effective sensors which can be used for obstacle detection and tracking in infrastructure-free environments.

Keywords

Smartphone Sensors Obstacle detection Accuracy Efficiency Driver support system 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Chandra Kishor Pandey
    • 1
  • Neeraj Kumar
    • 1
  • Vinay Kumar Mishra
    • 2
  1. 1.Department of Computer ApplicationShri Ramswaroop Memorial UniversityBarabankiIndia
  2. 2.Department of Computer ApplicationShri Ramswaroop Memorial Group of Professional CollegesLucknowIndia

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