ShuweiShao/URCDC-Depth
[TMM2023] URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
This project helps self-driving car engineers and robotics researchers accurately determine the depth of objects in a scene from a single camera image. It takes in a standard monocular image and outputs a detailed depth map, showing how far away each point in the image is. This is crucial for navigation, obstacle avoidance, and 3D scene understanding in autonomous systems.
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Use this if you need to extract precise depth information from standard 2D camera feeds for applications like autonomous driving or robotics.
Not ideal if you already have access to specialized depth sensors like LiDAR or stereo cameras, as this method relies on estimating depth from a single image.
Stars
45
Forks
6
Language
Python
License
MIT
Category
Last pushed
Dec 16, 2023
Commits (30d)
0
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