Path Planning Based on YOLOX and Improved Dynamic Window Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0068-4_3
Reference21 articles.
1. Guanglin, Z., Xiaomei, H., Jianfei, C., et al.: Summary of path-planning algorithm and its application. Modern Machinery (2011)
2. Yu, X., Zhang, Y.: Sense and avoid technologies with applications to unmanned aircraft systems: review and prospects. Prog. Aerosp. Sci.Aerosp. Sci. 74, 152–166 (2015)
3. Dongdong, L., Lei, W., Jingcao, C., et al.: Research on path planning of mobile robot based on improved genetic algorithm. International Journal of Modeling, Simulation, and Scientific Computing (2023)
4. Kashyap, A.K., Parhi, D.R., Kumar, P.B.: Route outlining of humanoid robot on flat surface using MFO aided artificial potential field approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 236(6–7), 758–769 (2022)
5. Fox, D., Burgard, W., Thrun, S.: The dynamic window approach to collision avoidance. IEEE Robot. Autom. Mag.Autom. Mag. 4(1), 23–33 (2002)
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