MfNeuPAN uses multi-frame observations and predicted future obstacle paths to enable proactive end-to-end robot navigation that improves robustness in unknown dynamic environments.
DPMPC-planner: A real-time UA V trajectory planning framework for complex static environments with dynamic obstacles,
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MfNeuPAN: Proactive End-to-End Navigation in Dynamic Environments via Direct Multi-Frame Point Constraints
MfNeuPAN uses multi-frame observations and predicted future obstacle paths to enable proactive end-to-end robot navigation that improves robustness in unknown dynamic environments.