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Learn how to use this package by watching our on-demand webinar: [Using ML Models in ROS2 to Robustly Estimate Distance to Obstacles](https://gateway.on24.com/wcc/experience/elitenvidiabrill/1407606/3998202/isaac-ros-webinar-series)
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## Overview
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This repository provides NVIDIA hardware-accelerated packages for proximity segmentation. The `isaac_ros_bi3d` package uses an optimized [Bi3D](https://arxiv.org/abs/2005.07274) model to perform stereo-depth estimation via binary classification, which is used for proximity segmentation. Proximity segmentation can be used to determine whether an obstacle is within a proximity field and to avoid collisions with obstacles during navigation.
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