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Developing a More Reliable Aerial Photography-Based Method for Acquiring Freeway Traffic Data
2022
Remote Sensing
Due to the widespread use of unmanned aerial vehicles (UAVs) in remote sensing, there are fully developed techniques for extracting vehicle speed and trajectory data from aerial video, using either a traditional method based on optical features or a deep learning method; however, there are few papers that discuss how to solve the issue of video shaking, and existing vehicle data are rarely linked to lane lines. To address the deficiencies in current research, in this study, we formulated a more
doi:10.3390/rs14092202
fatcat:qtcq4dgvkrfelm3ev6qgftmxcq