NVIDIA-ISAAC-ROS/isaac_ros_depth_segmentation
NVIDIA-accelerated, deep learned depth segmentation and obstacle field ranging using Bi3D
This project helps roboticists and autonomous system developers quickly detect and avoid obstacles. By taking synchronized left and right stereo camera images, it outputs a segmented view showing whether objects are within a defined proximity field, along with a clear indication of free space. This is for engineers building robots or autonomous vehicles that need reliable, real-time collision avoidance.
Use this if you need to determine if obstacles are within a critical distance and identify clear pathways for autonomous navigation.
Not ideal if you require precise, continuous depth measurements for every point in the scene, rather than proximity segmentation.
Stars
56
Forks
8
Language
C++
License
Apache-2.0
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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