aerial-autonomy-stack is a ROS2-based open-source framework that supports faster-than-real-time simulation of complete perception-to-action drone autonomy pipelines while remaining agnostic to PX4 and ArduPilot autopilots.
Kiss-icp: In defense of point-to-point icp – simple, accurate, and robust registration if done the right way,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Two radar odometry baselines improve trajectory estimates on challenging off-road routes in the GO dataset.
citing papers explorer
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aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones
aerial-autonomy-stack is a ROS2-based open-source framework that supports faster-than-real-time simulation of complete perception-to-action drone autonomy pipelines while remaining agnostic to PX4 and ArduPilot autopilots.
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Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges
Two radar odometry baselines improve trajectory estimates on challenging off-road routes in the GO dataset.