Decision-Making and Control Module Architecture: This includes the collaborative workflow of path tracking and real-time optimization based on MPC, along with dynamic obstacle trajectory prediction and path adjustment based on LSTM.

<p>Decision-Making and Control Module Architecture: This includes the collaborative workflow of path tracking and real-time optimization based on MPC, along with dynamic obstacle trajectory prediction and path adjustment based on LSTM.</p>

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Bibliographic Details
Main Author:	Yan Chen (4308) (author)
Published:	2025
Subjects:	Inorganic Chemistry Statistics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified shows strong adaptability sensor image fusion sensor data fusion involves crowded communities airsim datasets show logistics autonomous vehicles intelligent logistics scenarios dynamic campus roads future optimization directions cainiao stations based time path tracking path planning algorithm dynamic adjustment ability obstacle avoidance capabilities lightweight model design div >< p 4 %), especially balance path length complex dynamic environments efficient path planning ), path smoothness dynamic adjustment obstacle avoidance path optimization path length logistics scene dynamic environment cainiao station optimal path work provides three modules term memory target point starting point simultaneous localization reliable solution paper proposes model consists long short key indicators key challenges inertial odometry experimental results existing methods complex environment avoiding obstacles
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Summary:	<p>Decision-Making and Control Module Architecture: This includes the collaborative workflow of path tracking and real-time optimization based on MPC, along with dynamic obstacle trajectory prediction and path adjustment based on LSTM.</p>

Decision-Making and Control Module Architecture: This includes the collaborative workflow of path tracking and real-time optimization based on MPC, along with dynamic obstacle trajectory prediction and path adjustment based on LSTM.

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