1. bookTom 20 (2019): Zeszyt 1 (February 2019)
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
1407-6179
Pierwsze wydanie
20 Mar 2000
Częstotliwość wydawania
4 razy w roku
Języki
Angielski
Open Access

Analysis of the Hybrid Global Path Planning Algorithm for Different Environments

Data publikacji: 02 Mar 2019
Tom & Zeszyt: Tom 20 (2019) - Zeszyt 1 (February 2019)
Zakres stron: 1 - 11
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
1407-6179
Pierwsze wydanie
20 Mar 2000
Częstotliwość wydawania
4 razy w roku
Języki
Angielski

1. Araujo de Lemos, R., Garcia, O., Ferreira, J.V. (2015) Local and Global Path Generation for Autonomous Vehicles Using Splines. In: Workshop on Engineering Applications - International Congress on Engineering (WEA), Bogota, October 2015. Colombia: IEEE, pp. 1–6.10.1109/WEA.2015.7370124Search in Google Scholar

2. Ayawli, B.B.K., Chellali, R., Appiah, A.Y., Kyeremeh, F. (2018) An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning. Journal of Advanced Transportation, 1–27. DOI: 10.1155/2018/826969810.1155/2018/8269698Otwórz DOISearch in Google Scholar

3. Chaari, I., Koubaa, A., Benaceur, H., Ammar, A., Alajlan, M., Youssef, H. (2017) Design and performance analysis of global path planning techniques for autonomous mobile robots in grid environments. International Journal of Advanced Robotic Systems, 14(2), 1–15.10.1177/1729881416663663Search in Google Scholar

4. Elhoseny, M., Tharwat, A., Hassanien, A.E. (2018) Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm. Journal of Computational Science, 25, 339–350.10.1016/j.jocs.2017.08.004Search in Google Scholar

5. Gonzales, D., Perez, J., Milanes, V., Nashashibi, F. (2015) A Review of Motion Planning Techniques for Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems, 17(4), 1135–1145. DOI: 10.1109/TITS.2015.249884110.1109/TITS.2015.2498841Otwórz DOISearch in Google Scholar

6. Kikutis, R., Stankūnas, J., Rudinskas, D., Masiulionis, D. (2017) Adaptation of Dubins Paths for UAV Ground Obstacle Avoidance When Using a Low Cost On-Board GNSS Sensor. Sensors, 17(10), 1–23.10.3390/s17102223Search in Google Scholar

7. Lamini, C., Benhlima, S., Elbekri, A. (2018) Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning. Procedia Computer Science, 127, 180–189. DOI: 10.1016/j.procs.2018.01.11310.1016/j.procs.2018.01.113Otwórz DOISearch in Google Scholar

8. Lee, J.W., Lee, D.H, Lee, J.J. (2011) Global Path Planning Using Improved Ant Colony Optimization Algorithm through Bilateral Cooperative Exploration. In: 5th IEEE International Conference on Digital Ecosystems and Technologies, Daejeon, June 2011. Korea: IEEE, pp. 109–113.10.1109/DEST.2011.5936607Search in Google Scholar

9. Mac, T.T., Copot, C., Tran, D.T., De Keyser, R. (2017) A hierarchical global path planning approach for mobile robots based on multi-objective particle swarm optimization. Applied Soft Computing, 59, 68–76. DOI: 10.1016/j.asoc.2017.05.01210.1016/j.asoc.2017.05.012Otwórz DOISearch in Google Scholar

10. Noreen, I., Khan, A., Habib, Z. (2016) Optimal Path Planning using RRT* based Approaches: A Survey and Future Directions. International Journal of Advanced Computer Science and Applications, 7(11), 97–107. DOI: 10.14569/IJACSA.2016.07111410.14569/IJACSA.2016.071114Search in Google Scholar

11. Paniagua, A.H., Bandera, J.P., Ruiz-de-Quintanilla, M., Bandera, A. (2018) Quad-RRT: A real-time GPU-based global path planner in large-scale real environments. Expert Systems with Applications, 99, 141v154. DOI: 10.1016/j.eswa.2018.01.03510.1016/j.eswa.2018.01.035Otwórz DOISearch in Google Scholar

12. Samadi, M., Othman, M.F. (2013) Global Path Planning for Autonomous Mobile Robot using Genetic Algorithm. In: International Conference on Signal-Image Technology & Internet-Based Systems, Kyoto, December 2013. Japan: IEEE, pp. 726–730.10.1109/SITIS.2013.118Search in Google Scholar

13. Zhang, Y., Chen, H., Waslander, S.L., Gong, J., Xiong, G., Yang, T., Liu, K. (2018) Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained Environments. IEEE Access, 6, 32800–32819. DOI: 10.1109/ACCESS.2018.2845448.10.1109/ACCESS.2018.2845448Otwórz DOISearch in Google Scholar

14. Zhou, F., Gon, L. E. (2013) An Improved Path Planning for Mobile Robots. In: International Conference on Information Science and Cloud Computing Companion, Guangzhou, December 2013. China: IEEE, pp. 589–594.10.1109/ISCC-C.2013.43Search in Google Scholar

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