Research Article
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Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method

Year 2017, Volume: 5 Issue: 1, 1 - 6, 31.03.2017

Abstract

In this study, reference path generation based on waypoints, Dubins curves and obstacle avoidance are focused. The motion of a wheeled robot vehicle is modeled by following the principles of point mass approach. While motion planning is performed, the importance of obtaining the shortest distance between two target points is illustrated. Dubins curves and waypoints are used to construct an optimum path generation strategy. Path planning algorithm developed is combined with an obstacle avoidance approach, known as the virtual force field method. The whole system was tested for different scenarios. In the first scenario, the path generation was tested for the case where obstacles, start and finish points of the reference path, and initial and final robot vehicle orientations were defined. In this case, waypoints were not specified. In the second scenario, the performance of the algorithm was tested for generating a complete reference path. Waypoints were specified and the shortest path between the start and end points of the desired path was generated. Successful results were obtained and presented in this paper.

References

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  • Luca A. D., Oriolo G., Samson C. Robot Motion Planning and Control-Lecture Notes in Control and Information Sciences, New York: Springer-Verlag, 1998, ch. 4, pp. 171-253.
  • Ma X., Castanon D. A. Receding horizon planning for Dubins traveling salesman problems, in Proc. 45th IEEE Conference on Decision and Control, San Diego, CA, USA, 2006, pp. 5453-5458.
  • Yong C., Barth E. J. Real-time dynamic path planning for Dubins’ nonholomonic robot, in Proc. 45th IEEE Conference on Decision and Control, San Diego, CA, USA, 2006, pp. 2418-2423.
  • Isaacs J. T., Klein D. J., Hespanha P. Algorithms for the travelling salesman problem with neighborhoods involving a Dubins vehicle, in Proc. 2011 American Control Conference, San Francisco, CA, USA, 2011, pp. 1704, 1709.
  • Grymin D. J., Crassidis A. L. Simplified model development and trajectory determination for a UAV using Dubins set, in Proc. AIAA Atmospheric Flight Mechanics Conference, Chicago, IL, USA, 2009, pp. 1339-1149.
  • Olunloyo V. O. S., Ayomoh M. K. O. Autonomous mobile robot navigation using hybrid virtual force field concept, European Journal of Scientific Research, vol. 31, no. 2, pp. 204-228, 2009.
  • Borenstein J., Koren Y. The vector field histogram – fast obstacle avoidance for mobile robots, IEEE Journal of Robotics and Automation, vol. 7, no. 3, pp. 278-288, June 1991.
  • Borenstein J., Koren Y. Real-time obstacle avoidance for fast mobile robots, IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 1179-1187, September/October 1989.
  • Ma Z., Yuan Z. Real-time navigation and obstacle avoidance based on grids method for fast mobile robots, Engineering Applications and Artificial Intelligence, vol. 8, no. 1, pp. 91-95, 1995.
  • Oroko J. A., Nyakoe G. N. Obstacle avoidance and path planning schemes for autonomous navigation of a mobile robot: a review, in Proc. 2012 Mechanical Engineering Conference on Sustainable Research and Innovation, vol. 4, 2012, pp. 314-318.
  • Khatib O. Real-time obstacle avoidance for manipulators and mobile robots, in Proc. 1985 IEEE International Conference on Robotics and Automation, St. Louis, Missouri, USA, 1985, pp. 500-505.
  • Moravec H. P. Sensor fusion in certainty grids for mobile robots, AI Magazine, vol. 9, no. 2, pp. 61-74, 1988.
Year 2017, Volume: 5 Issue: 1, 1 - 6, 31.03.2017

Abstract

References

  • LaValle S. M. Planning Algorithms, 1st ed. New York, NY: Cambridge Unv. Press, 2006, ch. 15.
  • Luca A. D., Oriolo G., Samson C. Robot Motion Planning and Control-Lecture Notes in Control and Information Sciences, New York: Springer-Verlag, 1998, ch. 4, pp. 171-253.
  • Ma X., Castanon D. A. Receding horizon planning for Dubins traveling salesman problems, in Proc. 45th IEEE Conference on Decision and Control, San Diego, CA, USA, 2006, pp. 5453-5458.
  • Yong C., Barth E. J. Real-time dynamic path planning for Dubins’ nonholomonic robot, in Proc. 45th IEEE Conference on Decision and Control, San Diego, CA, USA, 2006, pp. 2418-2423.
  • Isaacs J. T., Klein D. J., Hespanha P. Algorithms for the travelling salesman problem with neighborhoods involving a Dubins vehicle, in Proc. 2011 American Control Conference, San Francisco, CA, USA, 2011, pp. 1704, 1709.
  • Grymin D. J., Crassidis A. L. Simplified model development and trajectory determination for a UAV using Dubins set, in Proc. AIAA Atmospheric Flight Mechanics Conference, Chicago, IL, USA, 2009, pp. 1339-1149.
  • Olunloyo V. O. S., Ayomoh M. K. O. Autonomous mobile robot navigation using hybrid virtual force field concept, European Journal of Scientific Research, vol. 31, no. 2, pp. 204-228, 2009.
  • Borenstein J., Koren Y. The vector field histogram – fast obstacle avoidance for mobile robots, IEEE Journal of Robotics and Automation, vol. 7, no. 3, pp. 278-288, June 1991.
  • Borenstein J., Koren Y. Real-time obstacle avoidance for fast mobile robots, IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 1179-1187, September/October 1989.
  • Ma Z., Yuan Z. Real-time navigation and obstacle avoidance based on grids method for fast mobile robots, Engineering Applications and Artificial Intelligence, vol. 8, no. 1, pp. 91-95, 1995.
  • Oroko J. A., Nyakoe G. N. Obstacle avoidance and path planning schemes for autonomous navigation of a mobile robot: a review, in Proc. 2012 Mechanical Engineering Conference on Sustainable Research and Innovation, vol. 4, 2012, pp. 314-318.
  • Khatib O. Real-time obstacle avoidance for manipulators and mobile robots, in Proc. 1985 IEEE International Conference on Robotics and Automation, St. Louis, Missouri, USA, 1985, pp. 500-505.
  • Moravec H. P. Sensor fusion in certainty grids for mobile robots, AI Magazine, vol. 9, no. 2, pp. 61-74, 1988.
There are 13 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Gokhan Bayar

Publication Date March 31, 2017
Published in Issue Year 2017 Volume: 5 Issue: 1

Cite

APA Bayar, G. (2017). Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method. International Journal of Applied Mathematics Electronics and Computers, 5(1), 1-6.
AMA Bayar G. Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method. International Journal of Applied Mathematics Electronics and Computers. March 2017;5(1):1-6.
Chicago Bayar, Gokhan. “Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method”. International Journal of Applied Mathematics Electronics and Computers 5, no. 1 (March 2017): 1-6.
EndNote Bayar G (March 1, 2017) Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method. International Journal of Applied Mathematics Electronics and Computers 5 1 1–6.
IEEE G. Bayar, “Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method”, International Journal of Applied Mathematics Electronics and Computers, vol. 5, no. 1, pp. 1–6, 2017.
ISNAD Bayar, Gokhan. “Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method”. International Journal of Applied Mathematics Electronics and Computers 5/1 (March 2017), 1-6.
JAMA Bayar G. Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method. International Journal of Applied Mathematics Electronics and Computers. 2017;5:1–6.
MLA Bayar, Gokhan. “Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method”. International Journal of Applied Mathematics Electronics and Computers, vol. 5, no. 1, 2017, pp. 1-6.
Vancouver Bayar G. Reference Path Generation and Obstacle Avoidance for Autonomous Vehicles Based on Waypoints, Dubins Curves and Virtual Force Field Method. International Journal of Applied Mathematics Electronics and Computers. 2017;5(1):1-6.

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