Sunday, 30 September 2012
This
paper mainly focuses on the sensing component of Nericell on the problem of
monitoring road and traffic conditions in the city of the developing countries.
Previous work in this area has required the use of dedicated sensors on
vehicles on the road side. Additionally, prior work has mainly focused on the
developed world, with its comparatively simple traffic flow patterns. In the
first half of the paper the detailed problem in the developing countries of
traffic is discussed. Experimental setup and acceleration is discussed in first
half. On the latter half, audio sensing for honk deduction a key requirement in
Nericell is an energy-efficient localization service and the implementations of
algorithms are described. Nericell is a system that performs rich
sensing by piggybacking on Smartphone’s that users normally carry with them. In
this paper, they focus particularly on the sensing component, to detect
potholes, bumps,braking, and honking in these phones which uses the
accelerometer, micro-phone, GSM radio, and/or GPS sensors. Nericell tackle a
number of challenges including virtually reorienting the accelerometer on a
phone that is a random orientation, and performing honk detection and
localization in an efficient way. They also touch upon the idea of triggered
sensing, where different sensors are used in tandem to preserve energy. They
also estimate the efficiency of the sensing functions in Nericell based on
experiments conducted on the roads of Bangalore, with capable consequences.
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