PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

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• Ahn, J., Shin, S., Kim, M., & Park, J. (2021). Accurate path tracking by adjusting look-ahead point in pure pursuit method. International Journal of Automotive Technology, 22(1), 119-129. https://doi.org/10.1007/s12239-021-0013-7

• Bolbhat, S. S., Bhosale, A. S., Sakthivel, G., Saravanakumar, D., Sivakumar, R., & Lakshmipathi, J. (2020). Intelligent obstacle avoiding agv using vector field histogram and supervisory control. In Journal of Physics: Conference Series (Vol. 1716, No. 1, p. 012030). IOP Publishing. https://doi.org/10.1088/1742-6596/1716/1/012030

• Chen, Y., Shan, Y., Chen, L., Huang, K., & Cao, D. (2018). Optimization of pure pursuit controller based on pid controller and low-pass filter. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (pp. 3294-3299). IEEE Publishing. https://doi.org/10.1109/ITSC.2018.8569416

• Coulter, R. C. (1992). Implementation of the Pure Pursuit Path Tracking Algorithm. Defense Technical Information Center.

• Díaz, D., & Marín, L. (2020). VFH+ D: An improvement on the VFH+ algorithm for dynamic obstacle avoidance and local planning. IFAC-PapersOnLine, 53(2), 9590-9595. https://doi.org/10.1016/j.ifacol.2020.12.2450

• Dong, X., Wang, M., Kang, C., Zhang, Y., Pan, W., & Gao, S. (2021). Improved auto-regulation VFH algorithm for obstacle avoidance of unmanned vehicles. In 2021 China Automation Congress (CAC) (pp. 6467-6472). IEEE Publishing. https://doi.org/10.1109/CAC53003.2021.9727888

• Girbés, V., Armesto, L., Tornero, J., & Solanes, J. E. (2011). Smooth kinematic controller vs. pure-pursuit for non-holonomic vehicles. In Towards Autonomous Robotic Systems: 12th Annual Conference, TAROS 2011 (pp. 277-288). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23232-9_25

• Huang, Y., Tian, Z., Jiang, Q., & Xu, J. (2020). Path tracking based on improved pure pursuit model and pid. In 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (pp. 359-364). IEEE Publishing. https://doi.org/10.1109/ICCASIT50869.2020.9368694

• Ibrahim, I. N., Izhevsk, K., Pavol, B., Aiman, A. A. M., Izhevsk, K., & Karam, A. (2017). Navigation control and stability investigation of a hexacopter equipped with an aerial manipulater. In Proceedings of the 2017 21st International Conference on Process Control, PC 2017 (pp. 204-209). IEEE Publishing. https://doi.org/10.1109/PC.2017.7976214

• Li, H., Luo, J., Yan, S., Zhu, M., Hu, Q., & Liu, Z. (2019). Research on parking control of bus based on improved pure pursuit algorithms. In 2019 18th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) (pp. 21-26). IEEE Publishing. https://doi.org/10.1109/DCABES48411.2019.00013

• Pappas, P., Chiou, M., Epsimos, G.-T., Nikolaou, G., & Stolkin, R. (2020). Vfh+ based shared control for remotely operated mobile robots. In 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) (pp. 366-373). IEEE Publishing. https://doi.org/10.1109/SSRR50563.2020.9292585

• Qinpeng, S., Zhonghua, W., Meng, L., Bin, L., Jin, C., & Jiaxiang, T. (2019). Path tracking control of wheeled mobile robot based on improved pure pursuit algorithm. In 2019 Chinese Automation Congress (CAC) (pp. 4239-4244). IEEE Publishing. https://doi.org/10.1109/CAC48633.2019.8997258

• Shan, Y., Yang, W., Chen, C., Zhou, J., Zheng, L., & Li, B. (2015). CF-Pursuit: A pursuit method with a clothoid fitting and a fuzzy controller for autonomous vehicles. International Journal of Advanced Robotic Systems, 12(9), Article 134. https://doi.org/10.5772/61391

• Snider, J. M. (2009). Automatic Steering Methods for Autonomous Automobile Path Tracking. Carnegie Mellon University.

• Ulrich, I., & Borenstein, J. (1998). VFH+: Reliable obstacle avoidance for fast mobile robots. IEEE International Conference on Robotics and Automation, 2, 1572-1577. https://doi.org/10.1109/ROBOT.1998.677362

• Ulrich, I., & Borenstein, J. (2000). VFH*: Local obstacle avoidance with look-ahead verification. Proceedings-IEEE International Conference on Robotics and Automation, 3, 2505-2511. https://doi.org/10.1109/ROBOT.2000.846405

• Wang, H., Chen, X., Chen, Y., Li, B., & Miao, Z. (2019). Trajectory tracking and speed control of cleaning vehicle based on improved pure pursuit algorithm. In 2019 Chinese Control Conference (CCC) (pp. 4348-4353). IEEE Publishing. https://doi.org/10.23919/ChiCC.2019.8865255

• Wang, R., Li, Y., Fan, J., Wang, T., & Chen, X. (2020). A novel pure pursuit algorithm for autonomous vehicles based on salp swarm algorithm and velocity controller. IEEE Access, 8, 166525-166540. https://doi.org/10.1109/ACCESS.2020.3023071

• Wang, W. J., Hsu, T. M., & Wu, T. S. (2017). The improved pure pursuit algorithm for autonomous driving advanced system. In 2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA) (pp. 33-38). IEEE Publishing. https://doi.org/10.1109/IWCIA.2017.8203557

• Yang, Y., Li, Y., Wen, X., Zhang, G., Ma, Q., Cheng, S., Qi, J., Xu, L., & Chen, L. (2022). An optimal goal point determination algorithm for automatic navigation of agricultural machinery: Improving the tracking accuracy of the pure pursuit algorithm. Computers and Electronics in Agriculture, 194, Article 106760. https://doi.org/10.1016/j.compag.2022.106760