GraphCanon updated Sep 22, 2026 · GitHub synced Sep 22, 2026
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Decision brief
Redtail project by NVIDIA offers autonomous visual navigation components for drones and ground vehicles using deep learning on Jetson platforms.
Good fit when
- For developers working withJetson embedded systems aiming to deploy advanced perception systems in unstructured environments
- When precise depth estimation from stereo cameras is required, especially on NVIDIA hardware
Avoid when
- If you do not have access to Jetson hardware as the project is tightly integrated with this specific platform
- For robotics applications that demand constant updates and new features since Redtail development has ceased
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (2134d since push)
- As of Sep 22, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 22, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/NVIDIA-AI-IOT/redtailSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Includes deep neural networks, computer vision, control code for visual navigation of drones and ground vehicles in unstructured environments using NVIDIA's Jetson platform.
Capability facts
- Languages
- c++
Source: github.language · Sep 22, 2026
Categories
Tags
README
NVIDIA Redtail project Autonomous visual navigation components for drones and ground vehicles using deep learning. Refer to wiki for more information on how to get started. This project contains deep neural networks, computer vision and control code, hardware instructions and oth...
For agents
This page has a .md twin and JSON over the API.