@misc { , title = {The HDIN dataset: A Real-world Indoor UAV Dataset with Multi-task Labels for Visual-based Navigation}, abstract = {The dataset contains image samples and Multi-task labels (i.e., regression and classification labels) collected from onboard UAV sensors in real-world indoor environments. By transforming the original labels following the instructions at: https://github.com/Yingxiu-Chang/HDIN-Dataset, the dataset can be used for indoor UAV visual-based navigation based on supervised learning. This dataset does not just expand the current public UAV navigation datasets with indoor dataset, which benefits the network generalization capabilities, but also overcomes the challenges of unidentical label units for regression tasks.}, publicationstatus = {Published}, url = {https://hull-repository.worktribe.com/output/4018646}, keyword = {Specialist Research - Other}, year = {2024}, author = {Chang, Yingxiu and Cheng, Yongqiang and Murray, John and Huang, Shi and Shi, Guangyi} }