APA (7th ed.) Citation

Wu, X., Wang, X., Bai, Z., & Guo, G. (2025). Synergistically integrated Gaussian artificial potential field and pruned rapidly exploring random tree for real-time path planning of autonomous vehicles in weakly regulated zones. Journal of the Brazilian Society of Mechanical Sciences & Engineering, 47(12), 1-18. https://doi.org/10.1007/s40430-025-05963-6

Chicago Style (17th ed.) Citation

Wu, Xiaolan, Xinyang Wang, Zhifeng Bai, and Guifang Guo. "Synergistically Integrated Gaussian Artificial Potential Field and Pruned Rapidly Exploring Random Tree for Real-time Path Planning of Autonomous Vehicles in Weakly Regulated Zones." Journal of the Brazilian Society of Mechanical Sciences & Engineering 47, no. 12 (2025): 1-18. https://doi.org/10.1007/s40430-025-05963-6.

MLA (9th ed.) Citation

Wu, Xiaolan, et al. "Synergistically Integrated Gaussian Artificial Potential Field and Pruned Rapidly Exploring Random Tree for Real-time Path Planning of Autonomous Vehicles in Weakly Regulated Zones." Journal of the Brazilian Society of Mechanical Sciences & Engineering, vol. 47, no. 12, 2025, pp. 1-18, https://doi.org/10.1007/s40430-025-05963-6.