NVIDIA-ISAAC-ROS/isaac_ros_dnn_stereo_depth
NVIDIA-accelerated, deep learned stereo disparity estimation
This project helps roboticists and autonomous system developers more accurately perceive their environment. It takes in live stereo camera feeds and outputs detailed, dense depth maps, even in challenging conditions like reflections or low texture. It's designed for engineers building robust navigation, manipulation, and tracking systems.
139 stars.
Use this if you need highly accurate and fast depth perception for robotics in complex, real-world environments where traditional stereo methods fall short.
Not ideal if your application only requires basic depth estimation in controlled, well-lit, and highly textured environments.
Stars
139
Forks
11
Language
C++
License
Apache-2.0
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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