CDDQN based efficient path planning for aerial surveillance in high wind scenarios

Keyphrases

• Path Planning 100%
• Efficient Path 100%
• High Winds 100%
• Aerial Surveillance 100%
• Wind Scenario 100%
• Power Consumption 66%
• Military 33%
• Rain 33%
• Monitoring Solution 33%
• Airport 33%
• Maintenance Requirement 33%
• Computational Efficiency 33%
• Surveillance Monitoring 33%
• Reward Structure 33%
• Wind Effects 33%
• Foreign Element 33%
• Robotic Surveillance 33%
• Clipped Double Q-learning 33%
• Aerial Robotics 33%
• Port Area 33%
• Deep Reinforcement Learning Algorithm 33%
• Robust Path Planning 33%
• Pose Graph 33%
• Path Planning System 33%
• Path Planning Problem 33%
• Computation Consumption 33%
• Industrial Facilities 33%
• Dense Reward Function 33%
• Wind Influence 33%

Engineering

• Path Planning 100%
• High Wind 100%
• Efficient Path 100%
• Electric Power Utilization 40%
• Computational Efficiency 20%
• Q-Learning 20%
• Reinforcement Learning 20%

Computer Science

• path-planning 100%
• Power Consumption 50%
• Reinforcement Learning 25%
• Computational Efficiency 25%
• Reward Structure 25%
• Deep Reinforcement Learning 25%
• path planning problem 25%
• Industrial Facilities 25%