Abstract
In modern society, vehicle theft has become an increasing problem to the general public. Deploying onboard anti-theft systems could relieve this problem, but it often requires extra investment for vehicle owners. In this paper, we propose the idea of PhoneInside, which does not need a special device but leverages an obsolete smartphone to build a low-cost vehicle anti-theft system. After being fixed in the vehicle body with a car charger, the smartphone can detect vehicle movement and adaptively use GPS, cellular/WiFi localization, and dead reckoning to locate the vehicle during driving. Especially, a novel Velocity-Aware Dead Reckoning (VA-DR) method is presented, which utilizes map knowledge and vehicle’s turns at road curves and intersections to estimate velocity for trajectory computation. Compared to traditional dead reckoning, it reduces accumulated errors and achieves great improvement in localization accuracy. Furthermore, based on the learning of the driving history, our system can establish individual mobility model for a vehicle and distinguish abnormal driving behaviors by a Long Short Term Memory (LSTM) network. With the help of ad hoc authentication, the system can identify vehicle theft and send out timely alarming and tracking messages for rapid recovery. The realistic experiments running on Android smartphones prove that our system can detect vehicle theft effectively and locate a stolen vehicle accurately, with average errors less than the sight range.
Highlights
Nowadays, quick and easy transport has been an essential part of our daily life
We propose the idea of PhoneInside, which does not need a special device but leverages an obsolete smartphone to build a low-cost vehicle anti-theft system
To any vehicle anti-theft system, there are two basic tasks: alarming and tracking. e former is triggered when theft happens, while the latter usually lasts a long period to locate the moving vehicle. us, the PhoneInside system carries on tracking and theft detecting in each driving and sends alarming and locating messages to the owner once the vehicle is thought stolen
Summary
Quick and easy transport has been an essential part of our daily life. As the dark side of this phenomenon, vehicle theft has become one of the costliest property crimes of modern society. After being fixed in vehicle body with a car charger, the smartphone can detect vehicle movement and adaptively use GPS, cellular/WiFi localization, and dead reckoning to locate the vehicle during driving. CTrack [9] achieves energy-efficient trajectory mapping using raw position tracks obtained largely from cellular base station fingerprints, which fuses data from low-energy accelerometer (to detect movement) and magnetometer (to detect turns) on smartphones. Each vehicle estimates intervehicle distance and localizes itself among its neighbors, which aims at accurate relative positioning for driving safety These approaches assume onboard device equipped on every vehicle to support ad hoc communication, which may need a long time for wide deployment of hardware. E infrared sensors and vibration sensors completed the monitoring function They deploy different hardware equipment, they exploit cellular communication and GPS localization and have similar disadvantages as the anti-theft devices discussed above. These approaches require onboard device on every vehicle, which is still an obstacle for current users
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