Hierarchical DRL enables AUVs to navigate obstacles using raw camera and sonar data, performing within 4-6% of RRT* in simulation.
A review of sensor fusion techniques for underwater vehicle navigation,
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Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning
Hierarchical DRL enables AUVs to navigate obstacles using raw camera and sonar data, performing within 4-6% of RRT* in simulation.