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Fusion of aerial lidar and images for road segmentation with deep CNN
Research article (Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018) · cited 22× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Fusion of aerial lidar and images for road segmentation with deep CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusion-of-aerial-lidar-and-images-for-road-segmentation-with-deep-cnn
MLA“Fusion of aerial lidar and images for road segmentation with deep CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusion-of-aerial-lidar-and-images-for-road-segmentation-with-deep-cnn.
BibTeX@misc{4ortxyz_fusion-of-aerial-lidar-and-images-for-road-segmentation-with-deep-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusion of aerial lidar and images for road segmentation with deep CNN}}, year = {2026}, url = {https://4ort.xyz/entity/fusion-of-aerial-lidar-and-images-for-road-segmentation-with-deep-cnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusion of aerial lidar and images for road segmentation with deep CNN — https://4ort.xyz/entity/fusion-of-aerial-lidar-and-images-for-road-segmentation-with-deep-cnn (retrieved 2026-05-24)