Poster abstract: SmartRoad: a crowd-sourced traffic regulator detection and identification system

  • Authors:
  • Shaohan Hu;Lu Su;Hengchang Liu;Hongyan Wang;Tarek Abdelzaher

  • Affiliations:
  • UIUC, Urbana, Illinois, USA;UIUC, Urbana, Illinois, USA;UIUC, Urbana, Illinois, USA;UIUC, Urbana, Illinois, USA;UIUC, Urbana, Illinois, USA

  • Venue:
  • Proceedings of the 12th international conference on Information processing in sensor networks
  • Year:
  • 2013

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Abstract

In this paper we present SmartRoad, a crowd-sourced 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. We implement SmartRoad on a vehicular smartphone testbed, and deploy on 35 external volunteer users' vehicles for two months. Experiment results show that SmartRoad can robustly, effectively and efficiently carry out its detection and identification tasks without consuming excessive communication energy/bandwidth or requiring too much ground truth information.