Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Advanced Driving Stake System for Physically-Challenged People


Affiliations
1 SRKR Engineering College, Bhimavaram, Andhra Pradesh, India
     

   Subscribe/Renew Journal


This paper proposes Advanced Driver Stake System (ADSS) for physically challenged people to assist them in driving the four-wheeler vehicles such as car. The present technologies concentrate on improving the advanced driving systems to avoid accidents and automatic systems for this purpose, but these were limited in interfacing the android systems. This paper was designed to improve this technology for interfacing mobile android applications, car driving systems to work with vocal instructions. The GPS is also enabled so that the registered users gets SMS alert in case of an emergency. The car motion can also be captured using GPS and can be followed by authenticated user. If the car founds any obstacle at a maximum distance of 3cm at the front then the car stops immediately with an alert message to the driver. The car gets slowed down if the obstacle was found at a distance less than 10cm in the front. If the obstacle is found at a distance of 10cm in any other directions such as left, right or behind then the car gives an alert message to the driver indicating the obstacle on the respective direction.

Keywords

Arduino, IR Sensor, Microcontroller, Ultrasonic Sensor, Voice Control.
User
Subscription Login to verify subscription
Notifications
Font Size

  • P. Pinggera, S. Ramos, S. Gehrig, U. Franke, C. Rother, and R. Mester, “Lost and found: Detecting small road hazards for self-driving vehicles,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon Convention Center, Daejeon, Korea, 9-14 October 2016.
  • W. Peng, and L. Zhiqiang, “The study of intelligent vehicle anti-collision forewarning technology by multi-information detection,” Proceedings of the 2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA’13), pp. 1557-1561, 16-18 January 2013.
  • Y.-L. Chen, S.-C. Wang, and C.-A. Wang, “Study on vehicle safety distance warning system,” IEEE International Conference on Industrial Technology (ICIT’08), 2008.
  • H.-H. Hsieh, C.-Y. Hsu, P.-Y. Ke, G.-S. Liu, and C.-P. Lin, “Appling lidar-based obstacle detection and wireless image transmission system for improving safety at level crossings,” 2015 International Carnahan Conference on Security Technology (ICCST’15), IEEE, 21-24 September 2015.
  • V. V. Pande, N. S. Ubale, D. P. Masurkar, N. R. Ingole, and P. P. Mane, “Hand gesture based wheelchair movement control for disabled person using MEMS,” International Journal of Engineering Research and Applications, vol. 4, no. 4, pp. 152-158, April 2014.
  • BOSCH, “CAN Homepage.” Available: http://www.can.bosch.com
  • R. Garg, N. Shriram, V. Gupta, and V. Agarwal, “A smart mobility solution for physically challenged,” 2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES’09), IEEE, 11-12 November 2009.
  • MOST, “MOST Cooperation Official,” 2008. Available: http://www.mostcooperation.com
  • C. Topal, A. Dogan, and O. N. Gerek, “A wearable head-mounted sensor-based apparatus for eye tracking applications,” 2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, IEEE, Istanbul, Turkey, 14-16 July 2008.
  • R. K. Megalingam, R. N. Nair, and S. M. Prakhya, “Automated voice based home navigation system for the elderly and the physically challenged,” ICACT2011, pp. 603-608, 13-16 February 2011.
  • D. P. Massa, “Choosing and ultrasonic sensor for proximity or distance measurement part 1: Acoustic considerations,” Sensors, February 1999.
  • Y. Kuno, T. Murashima, N. Shimada, and Y. Shirai, “Interactive gesture interface for intelligent wheelchairs,” 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), IEEE, New York, NY, USA, 30 July-2 August 2000.
  • Mazidi, PIC Microcontroller and Embedded System.
  • H. S. Sandhu, Making of PIC Microcontroller Instruments and Controllers.

Abstract Views: 211

PDF Views: 0




  • Advanced Driving Stake System for Physically-Challenged People

Abstract Views: 211  |  PDF Views: 0

Authors

D. V. N. Bharathi
SRKR Engineering College, Bhimavaram, Andhra Pradesh, India
Nagavalli Vegesna
SRKR Engineering College, Bhimavaram, Andhra Pradesh, India
Ketha Akhil Sravan
SRKR Engineering College, Bhimavaram, Andhra Pradesh, India

Abstract


This paper proposes Advanced Driver Stake System (ADSS) for physically challenged people to assist them in driving the four-wheeler vehicles such as car. The present technologies concentrate on improving the advanced driving systems to avoid accidents and automatic systems for this purpose, but these were limited in interfacing the android systems. This paper was designed to improve this technology for interfacing mobile android applications, car driving systems to work with vocal instructions. The GPS is also enabled so that the registered users gets SMS alert in case of an emergency. The car motion can also be captured using GPS and can be followed by authenticated user. If the car founds any obstacle at a maximum distance of 3cm at the front then the car stops immediately with an alert message to the driver. The car gets slowed down if the obstacle was found at a distance less than 10cm in the front. If the obstacle is found at a distance of 10cm in any other directions such as left, right or behind then the car gives an alert message to the driver indicating the obstacle on the respective direction.

Keywords


Arduino, IR Sensor, Microcontroller, Ultrasonic Sensor, Voice Control.

References