Spiral Trajectories for Building Inspection with Quadrotors
Centro de Innovación y Desarrollo Tecnológico en Cómputo (CIDETEC), Instituto Politécnico Nacional (IPN)（国家理工学院（IPN）计算技术创新与发展中心（CIDETEC））；Universidad de Quintana Roo（金塔纳罗奥大学）；Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN)（国家理工学院（IPN）计算研究中心（CIC））
Juan Irving Vasquez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora
Inspection of large building is an important task since it can prevent material and human losses. A cheap and fast way to do the inspections is by sensors mounted on quadrotor vehicles. The challenge here is to compute a trajectory so that the building is completely observed while this same trajectory can be followed by the quadrotor in a smooth way. To address the problem, we propose a method that receives a 2.5D model of the target building and computes a smooth trajectory that can be followed by the quadrotor controller. The computed trajectory is a Fourier series that matches the desired behaviour. Our method has been tested in simulation and we have compared it against polynomial trajectories. Our result show that the method is efficient and can be applied to different building shapes.
LiDAR-based Quadrotor for Slope Inspection in Dense Vegetation
University of Hong Kong（香港大学）；Geotechnical Engineering Office（土力工程处）；Civil and Engineering Development Department（土木工程拓展署）；The Government of Hong Kong SAR（香港特别行政区政府）
Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
Robotics and AI group, in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, Sweden（鲁尔坎大学技术学院机器人与人工智能小组，计算机科学、电气与空间工程系，瑞典）
Autonomous UAV Pipeline Near-proximity Inspection via Disturbance-Aware Predictive Visual Servoing
School of Automation, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University（自动化学院、CSE测量与控制重点实验室、教育部、东南大学）；Department of Aeronautical and Automotive Engineering, Loughborough University（航空与汽车工程系、罗汉布大学）；Research Centre for Low Altitude Economy and the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University（低空经济研究中心和航空与航空工程系、香港理工大学）
A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions
Robotics and AI group, in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology（鲁德尼大学机器人与人工智能小组，计算机科学、电气与空间工程系）
Geometric Look-Angle Shaping Strategy for Enclosed Inspection
SYSTEC – Research Centre for Systems and Technologies（SYSTEC系统与技术研究中心）；ARISE – Advanced Production and Intelligent Systems（ARISE先进生产与智能系统）；Faculdade de Engenharia, Universidade do Porto（工程学院，葡萄牙波尔图大学）
