A synthetic digital city dataset for robustness and generalisation of depth estimation models

Abstract Existing monocular depth estimation driving datasets are limited in the number of images and the diversity of driving conditions. The images of datasets are commonly in a low resolution and the depth maps are sparse. To overcome these limitations, we produce a Synthetic Digital City Dataset...

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Bibliographic Details
Main Authors: Jihao Li, Jincheng Hu, Yanjun Huang, Zheng Chen, Bingzhao Gao, Jingjing Jiang, Yuanjian Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-03025-5