In nighttime, foggy conditions, or complex terrain environments, many ROS-based platforms
(UAVs, UGVs, or fixed installations) struggle with reliable distance perception when relying
solely on vision or illumination-dependent sensors.
In our recent projects, we’ve been focusing on stable, continuous distance sensing as a
foundational capability for:
- ground altitude estimation
- obstacle distance measurement
- terrain-aware navigation
Millimeter-wave radar has shown strong advantages in these scenarios due to its independence
from lighting conditions and robustness in fog, dust, or rain. We are currently working with
both 24GHz and 77GHz mmWave radar configurations, targeting:
- mid-to-long-range altitude sensing
- close-range, high-stability distance measurement
We’re interested in discussing with the ROS community:
-
How others integrate mmWave radar data into ROS (ROS1 / ROS2)
-
Message formats or filtering strategies for distance output
-
Fusion approaches with vision or IMU for terrain-following or obstacle detection
Any shared experience, references, or best practices would be greatly appreciated.
