Autonomous driving paper index
Autonomous landing on moving targets using LiDAR, Camera and IMU sensor Fusion
One-line summary
In this work, we presented a quadrotor system capable of performing autonomous landing using a novel localization method by fusion of data from one-dimensional LiDAR, camera, and IMU sensors that are embedded on board.
Engineering notes
Key topics: autonomous driving, lidar, sensor fusion, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
In this work, we presented a quadrotor system capable of performing autonomous landing using a novel localization method by fusion of data from one-dimensional LiDAR, camera, and IMU sensors that are embedded on board. In this research, a marker with specific properties was placed on the target which makes target detection possible by the onboard camera in different landing maneuver situations. There is no communication device between the target and the aerial vehicle for coordinating the landing maneuver. Thus, this system is capable of landing on any target (recognizable with a specific marker) with only onboard processors and sensors. We have validated our system localization and control performance in experiments.
Links and sources
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