This is a dataset for multi-goal path finding problem, including a training dataset and a simulation dataset.
Training Dataset - For learning-based methods (like S&Reg[1]) to solve the MGPF problem - Including promising region segmentation, guideline prediction, and length regression - Details of the learning-based methods refer to [1]
Simulation Dataset[updating] - For test the performance of MGPF algorithms - Including seen scenarios and unseen senarios - parts of unseen scenarios stem from [2]
Reference
[1]@misc{huang2023sreg, title={S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem}, author={Yuan Huang and Kairui Gu and Hee-hyol Lee}, year={2023}, eprint={2308.04160}, archivePrefix={arXiv}, primaryClass={cs.RO} }
[2]Wang. Satellite buildings semantic segmentation data (version 6). (2021). [Online]. Available: https://www.kaggle.com/datasets/hyyyrwang/buildings-dataset