Smartroad: Smartphone-based crowd sensing for traffic regulator detection and identification

Shaohan Hu, Lu Su, Hengchang Liu, Hongyan Wang, Tarek F. Abdelzaher

Research output: Contribution to journalArticle

Abstract

In this article we present SmartRoad, a crowd-sourced road sensing system that detects and identifies traffic regulators, traffic lights, and stop signs, in particular. As an alternative to expensive road surveys, SmartRoad works on participatory sensing data collected from GPS sensors from in-vehicle smartphones. The resulting traffic regulator information can be used for many assisted-driving or navigation systems. In order to achieve accurate detection and identification under realistic and practical settings, SmartRoad automatically adapts to different application requirements by (i) intelligently choosing the most appropriate information representation and transmission schemes, and (ii) dynamically evolving its core detection and identification engines to effectively take advantage of any external ground truth information or manual label opportunity. We implemented SmartRoad on a vehicular smartphone test bed, and deployed it on 35 external volunteer users' vehicles for two months. Experiment results show that SmartRoad can robustly, effectively, and efficiently carry out the detection and identification tasks.

Original languageEnglish (US)
Article number55
JournalACM Transactions on Sensor Networks
Volume11
Issue number4
DOIs
StatePublished - Jul 1 2015

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Keywords

  • Crowd sensing
  • Road sensing
  • Smartphone
  • Traffic regulator

ASJC Scopus subject areas

  • Computer Networks and Communications

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