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A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs
For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is crucial.
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps
In comparison to state-of-the-art deep learning methods, our approach is the first one to learn a single-frame measurement grid in the polar scheme from radars with a limited Field Of View (FOV).
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