An informative path planning framework for UAV-based terrain monitoring
Unmanned aerial vehicles represent a new frontier in a wide range of monitoring and
research applications. To fully leverage their potential, a key challenge is planning missions …
research applications. To fully leverage their potential, a key challenge is planning missions …
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
This paper proposes an automated method to obtain the extrinsic calibration parameters
between a camera and a 3D lidar with as low as 16 beams. We use a checkerboard as a …
between a camera and a 3D lidar with as low as 16 beams. We use a checkerboard as a …
Camera-LIDAR integration: Probabilistic sensor fusion for semantic map**
An automated vehicle operating in an urban environment must be able to perceive and
recognise objects and obstacles in a three-dimensional world for navigation and path …
recognise objects and obstacles in a three-dimensional world for navigation and path …
RSPMP: Real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments
D Chen, M Zhuang, X Zhong, W Wu, Q Liu - Applied Intelligence, 2023 - Springer
Considering autonomous navigation of an unmanned ground vehicle (UGV) in off-road
environments, it faces various problems, such as semantic perception and motion planning …
environments, it faces various problems, such as semantic perception and motion planning …
Octree map based on sparse point cloud and heuristic probability distribution for labeled images
To navigate through urban roads, an automated vehicle must be able to perceive and
recognize objects in a three-dimensional environment. A high level contextual …
recognize objects in a three-dimensional environment. A high level contextual …
Resolution-adaptive quadtrees for semantic segmentation map** in UAV applications
Unmanned Aerial Vehicles (UAVs) have been employed for multiple tasks in the last
decade, including planetary exploration. A common task for UAVs is map**, with maps …
decade, including planetary exploration. A common task for UAVs is map**, with maps …
Probabilistic 3d semantic map fusion based on bayesian rule
Performing collaborative semantic map** is a critical challenge for multi-robot systems to
maintain a comprehensive contextual understanding of the surroundings. In this paper, a …
maintain a comprehensive contextual understanding of the surroundings. In this paper, a …