Multi-rotor drone tutorial: systems, mechanics, control and state estimation
We present a tutorial introduction to the multi-rotor unmanned aerial vehicles, often simply
referred as drones. We first explain typical configuration, components and construction of the …
referred as drones. We first explain typical configuration, components and construction of the …
Visual SLAM for autonomous ground vehicles
H Lategahn, A Geiger, B Kitt - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Simultaneous Localization and Mapping (SLAM) and Visual SLAM (V-SLAM) in particular
have been an active area of research lately. In V-SLAM the main focus is most often laid on …
have been an active area of research lately. In V-SLAM the main focus is most often laid on …
C-blox: A scalable and consistent TSDF-based dense mapping approach
In many applications, maintaining a consistent dense map of the environment is key to
enabling robotic platforms to perform higher level decision making. Several works have …
enabling robotic platforms to perform higher level decision making. Several works have …
Avoiding moving outliers in visual SLAM by tracking moving objects
S Wangsiripitak, DW Murray - 2009 IEEE international …, 2009 - ieeexplore.ieee.org
To work at video rate, the maps that monocular SLAM builds are bound to be sparse, making
them sensitive to the erroneous inclusion of moving points and to the deletion of valid points …
them sensitive to the erroneous inclusion of moving points and to the deletion of valid points …
Recent advances on simultaneous localization and mapping for mobile robots
This paper gives recent advances made in simultaneous localization and mapping (SLAM)
in the last decade. It summarizes the main contributions, insights, limitations, and solutions …
in the last decade. It summarizes the main contributions, insights, limitations, and solutions …
Hybrid map-based SLAM using a Velodyne laser scanner
J Choi - 17th International IEEE Conference on Intelligent …, 2014 - ieeexplore.ieee.org
The first step of environment perception for autonomous vehicles is to estimate the
trajectories of the ego vehicle. Based on this, we can build the map of the environment and …
trajectories of the ego vehicle. Based on this, we can build the map of the environment and …
RTSDM: A real-time semantic dense mapping system for UAVs
Z Li, J Zhao, X Zhou, S Wei, P Li, F Shuang - Machines, 2022 - mdpi.com
Intelligent drones or flying robots play a significant role in serving our society in applications
such as rescue, inspection, agriculture, etc. Understanding the scene of the surroundings is …
such as rescue, inspection, agriculture, etc. Understanding the scene of the surroundings is …
Multitask learning for scalable and dense multilayer bayesian map inference
In this article, we present a novel and flexible multitask multilayer Bayesian mapping
framework with readily extendable attribute layers. The proposed framework goes beyond …
framework with readily extendable attribute layers. The proposed framework goes beyond …
Path planning in belief space with pose SLAM
R Valencia, J Andrade-Cetto, R Valencia… - Mapping, Planning and …, 2018 - Springer
Path Planning in Belief Space with Pose SLAM | SpringerLink Skip to main content
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Elastic and efficient LiDAR reconstruction for large-scale exploration tasks
Y Wang, N Funk, M Ramezani… - … on Robotics and …, 2021 - ieeexplore.ieee.org
We present an efficient, elastic 3D LiDAR reconstruction framework which can reconstruct
up to maximum Li-DAR ranges (60 m) at multiple frames per second, thus enabling robot …
up to maximum Li-DAR ranges (60 m) at multiple frames per second, thus enabling robot …