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Open Radar: Connecting the Open-Source Ecosystem, Making Integration Easier

2026-06-25


Abstract

By connecting seamlessly with mainstream open-source platforms, customers can quickly integrate the radar into their systems as soon as they receive it. This is Open Radar, and it marks a new step in NanoRadar's "focus on being integrated" strategy.

Buying a radar may take one minute; integrating it can take a month.
Driver development, protocol parsing, platform adaptation... integrating radar often takes more time than selecting the right model.
NanoRadar's answer is to make radar a standard building block in the open-source ecosystem.
By connecting seamlessly with mainstream open-source platforms, customers can quickly integrate the radar into their systems as soon as they receive it.
This is Open Radar, and it marks a new step in NanoRadar's "focus on being integrated" strategy.

One of the world's first millimeter-wave radar manufacturers to achieve deep adaptation across UAV, automotive, and security platforms
Built on more than 30 radar models covering UAV, automotive, and security scenarios, Open Radar has already connected seamlessly with nearly 10 open-source platforms, turning radar from "standalone hardware" into a standard component in the developer ecosystem.

Among these efforts, the newly added adaptation for automotive open-source platforms is an important step for the Open Radar ecosystem.
1、ROS/ROS2 Integration: Seamless Flow of Radar Data Across the Robotics Ecosystem
NanoRadar's full range of automotive radars has completed ROS/ROS2 adaptation. Radar data can be published in standard message formats, allowing customers to quickly develop upper-layer applications such as perception, localization, and mapping without dealing with low-level communication protocols.

2、APOLLO/AUTOWARE Integration: Deep Integration with the "Gold Standard" Development Frameworks for Autonomous Driving
NanoRadar's SR75 4D imaging radar, SR73F obstacle-avoidance radar, and AFM711 dual-wide-angle radar have completed adaptation. They can be quickly connected to the autonomous-driving perception chain, enabling online calibration, data visualization, and collaboration with perception, prediction, planning, and other modules.
Open Radar: Making Integration Easier and Development More Efficient

1、Easier to Use
Following the interface specifications of mainstream platforms such as ROS and Apollo, Open Radar provides API documentation to lower the development threshold. Its drivers have been extensively validated by the community for stability and reliability, while flexible parameter configuration helps developers complete integration quickly.

2、More Efficient
Radar-camera integration requires no additional calibration, reducing hardware and calibration costs by about 30%. Customers can reuse mature open-source code instead of developing low-level drivers from scratch, helping products reach market faster.
3、More Open
By continuously improving development toolchains and platform adaptation capabilities, NanoRadar enables more developers to build innovative applications on its radars and jointly create a more vibrant development ecosystem.
Open Radar: Continuously Connecting More Developer Ecosystems
Open Radar has no endpoint, only ecosystem boundaries that continue to expand.
Going forward, NanoRadar will continue advancing adaptation with development platforms and toolchains such as OpenPilot and CARLA, continuously improving the Open Radar developer ecosystem so radar becomes easier to integrate and development becomes simpler.

The Next Piece of the Open Radar Puzzle Is Yours to Decide
Which development platforms would you like NanoRadar radars to support next?
Leave your ideas in the comments. Your suggestions will become an important direction for the continued evolution of Open Radar.


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