Publicou 12 edições por ano
ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009
Indexed in
FIELD TRIAL OF A LOW-COST DATA ACQUISITION SYSTEM DEVELOPED FOR ADVANCED DRIVER-ASSISTANCE SYSTEM
RESUMO
Safety of driver and passengers is the main motto of the Intelligent Transportation System. To achieve this goal, it is necessary to upgrade the entire transport infrastructure including the vehicles. At the same time, the engineers must keep the cost of the upgraded facility in consideration such that it could be affordable to the common people. To get aligned with the aforesaid motto, the design and testing of a low-cost wireless data acquisition system, to complement Advanced Driver-Assistance Systems, is taken as the primary objective of this work. The implementation of Wireless Data Acquisition system using XBee module and Arduino-Uno module is presented in this paper. The control program is developed using embedded C programming. Two ultrasonic sensors used to acquire position data and the XBee module are used to transmit the data to the user computer. The Arduino-Uno module is configured to control the complete setup and to acquire the sensed data from different subsystems of a vehicle. The developed module has been tested with a field trial.
-
Dhar et al., (2013) Cognitive vertical handover engine for vehicular communication, Peer-to-Peer Netw. Appl., 6(3), pp. 305-324.
-
Piao and McDonald, (2008) Advanced Driver Assistance Systems from Autonomous to Cooperative Approach, Transport Reviews, 28(5), pp. 659-684.
-
Jimenez et al., (2016) Advanced Driver Assistance System for road environments to improve safety and efficiency, Transportation Research Proc., 14, pp. 2245-2254.
-
Baruah et al., (2017) Ranking of sensors for ADAS - An MCDM-based approach, Proceedings of the Springer International Conference on Communication, Devices and Networking, Sikkim, India, pp. 563-571.
-
Baruah et al., (2018) Autonomous vehicle - A miniaturized prototype development, Proceedings of the Springer International Conference on Communication, Devices and Networking, Sikkim, India, pp. 563-571.
-
Purushotham and Kumar, (2014) Wireless black box using MEMS accelerometer and GPS tracking for accidental monitoring of vehicles, International Journal of Scientific Engineering and Technology Research, 3(3), pp. 403-408.
-
Swamy and Rashmi, (2013) Data acquisition system based on FPGA, International Journal of Engineering Research and Applications, 3(2), pp. 1504-1509.
-
Rahali et al., (2012) Data acquisition and supervisory control system for environmental parameters in greenhouse, International Journal of Engineering Trends and Technology, 3(5), pp. 297-306.
-
Chil and Lindblad, (2008) Wireless data acquisition system using Bluetooth technology for infrasonic records, International Journal of Computing, 7(2), pp. 18-21.
-
Nurdan et al., (2003) FPGA-based data acquisition system for a Compton camera, Nuclear Instruments and Methods in Physics Research A, 510, pp. 122-125.
-
Subbulakshmi and Susila, (2018) Embedded wireless data acquisition system for unmanned vehicle in underwater environment, International Journal of Pure and Applied Mathematics, 119(7), pp. 1873-1880.
-
Patel and Neethu, (2016) Data acquisition system for smart vehicle using ARM controller LPC 2148, International Journal of Recent Advances in Engineering & Technology, 4(9), pp. 76-79.
-
Lung et al., (2013) Wireless data acquisition system for IoT applications, Carpathian Journal of Electronic and Computer Engineering, 6(1), pp. 64-67.
-
Biswas et al., (2016) S. Kore, Raspberry Pi based patient monitoring system using wireless sensor nodes, International Research Journal of Engineering and Technology, 3(4), pp. 1693-1696.
-
Gavimath et al., (2012) Design and development of versatile saline flow rate measuring system and GSM based remote monitoring device, International Journal of Pharmaceutical Applications, 3(1), pp. 277-281.
-
Subudhi and Sivanandam, (2014) Intelligent wireless patient monitoring and tracking system (using sensor network and wireless communication), International Journal of Interdisciplinary and Multidisciplinary Studies, 1(3), pp. 97-104.
-
Ravi and Muralidhar, (2015) Raspberry PI based data sensing and logging system using WSN and LAN, International Journal of Engineering Research& Technology, 4(5), pp. 1468-1472.
-
Hughes et al., (2015) Development of wireless sensor network using Bluetooth Low Energy (BLE) for construction noise monitoring, International Journal on Smart Sensing and Intelligent System, 8(2), pp. 1379-1405.
-
Ferencz and Domokos, (2018) IoT sensor data acquisition and storage system using Raspberry Pi and Apache Cassandra, Proceedings of the International IEEE Conference and Workshop in Obuda on Electrical and Power Engineering, Budapest, Hungary, pp. 143-146.
-
Sheikh and Li, (2014) Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications, Proc. Computer Science, 34, pp. 103-110.
-
Patchava et al., (2015) A smart home automation technique with Raspberry Pi using IoT, Proceedings of the International IEEE Conference on Smart Sensors and Systems, Bangalore, India, pp. 1-4.