lijx10/DeepI2P
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
This project helps autonomous systems or robotics engineers accurately align 2D camera images with 3D LiDAR point cloud data. It takes in an image from a camera and a corresponding 3D point cloud, then calculates their precise relative position and orientation. This allows for a more complete and accurate understanding of the environment by fusing visual and depth information.
256 stars. No commits in the last 6 months.
Use this if you need to precisely determine the spatial relationship between a camera and a LiDAR sensor for tasks like autonomous driving, robotics, or 3D mapping.
Not ideal if you are working with a single sensor modality (only images or only point clouds) or if your application does not require highly accurate sensor fusion.
Stars
256
Forks
39
Language
C++
License
MIT
Category
Last pushed
Jun 01, 2023
Commits (30d)
0
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