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Found 5 papers, 5 papers with code
A vision-based autonomous UAV inspection framework for unknown tunnel construction sites with dynamic obstacles
Besides, our framework contains a novel dynamic map module that can simultaneously track dynamic obstacles and represent static obstacles based on an RGB-D camera.
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera
Although the popular voxel-based mapping methods can efficiently represent 3D obstacles with arbitrarily complex shapes, they can hardly distinguish between static and dynamic obstacles, leading to the limited performance of obstacle avoidance.
Vision-aided UAV navigation and dynamic obstacle avoidance using gradient-based B-spline trajectory optimization
Although they have shown success in static environments, due to the limitation of map representation, those methods cannot reliably handle static and dynamic obstacles simultaneously.
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles
Although plenty of recent works achieve safe navigation in complex static environments with sophisticated mapping algorithms, such as occupancy map and ESDF map, these methods cannot reliably handle dynamic environments due to the mapping limitation from moving obstacles.
Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
Autonomous exploration requires robots to generate informative trajectories iteratively.
