Design and Implementation of Android-Based Autonomous Human Tracking Vehicle

Abstract

Design and properties of an Android-based autonomous human tracking vehicle has been presented in this paper.  It has been developed by using 3G technology with a smartphone. Real time control of the vehicle and transfer of captured image are performed by connecting the smartphone on the vehicle to the user’s smartphone. The aim of this paper is the design and implementation of a solution for supplying autonomous human tracking for especially using in unmanned ground vehicle cost effectively, user friendly and real time. Object tracking was implemented with OpenCV (Open Source Computer Vision) library, introduced to the develop software on the vehicle. The vehicle tracks human autonomously when track button is switched on. It is controlled remotely by the user. A compact and cost effective system has been realized by XMPP protocol and using minimum hardware. In addition, unnecessary power consumption was prevented through the developed software with the accelerometer by detecting the vehicle condition. Performance tests have been done on command and image transmission. The commanded autonomous transmission for the control process and real time image transmission can be achieved in short time as 240 ms and 158 ms, respectively.Design and properties of an Android-based autonomous human tracking vehicle has been presented in this paper.  It has been developed by using 3G technology with a smartphone. Real time control of the vehicle and transfer of captured image are performed by connecting the smartphone on the vehicle to the user’s smartphone. The aim of this paper is the design and implementation of a solution for supplying autonomous human tracking for especially using in unmanned ground vehicle cost effectively, user friendly and real time. Object tracking was implemented with OpenCV (Open Source Computer Vision) library, introduced to the develop software on the vehicle. The vehicle tracks human autonomously when track button is switched on. It is controlled remotely by the user. A compact and cost effective system has been realized by XMPP protocol and using minimum hardware. In addition, unnecessary power consumption was prevented through the developed software with the accelerometer by detecting the vehicle condition. Performance tests have been done on command and image transmission. The commanded autonomous transmission for the control process and real time image transmission can be achieved in short time as 240 ms and 158 ms, respectively.