MANHOLE COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH

7 citations as recorded by crossref.

1. Automated localization of urban drainage infrastructure from public-access street-level images D. Boller et al. https://doi.org/10.1080/1573062X.2019.1687743
2. Geometric and radiometric constraints-based extraction of urban road manhole covers and their maintenance-related information using mobile laser scanning data M. Yadav et al. https://doi.org/10.1080/10106049.2022.2115151
3. Potential applications of connected vehicles in pavement condition evaluation: a brief review M. Samie et al. https://doi.org/10.1080/14680629.2023.2237597
4. Road Manhole Cover Delineation Using Mobile Laser Scanning Point Cloud Data Y. Yu et al. https://doi.org/10.1109/LGRS.2019.2916156
5. Smart management of combined sewer overflows: From an ancient technology to artificial intelligence M. Saddiqi et al. https://doi.org/10.1002/wat2.1635
6. Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review J. Aitken et al. https://doi.org/10.1109/ACCESS.2021.3115981
7. Deep learning-based predictive models for pavement patching and manholes evaluation M. Fahmani et al. https://doi.org/10.1080/10298436.2024.2349901