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Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example
Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
Semantic information for robot navigation: A survey
There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …
human psychology, such as the processes associated with thinking. Semantic knowledge …
Towards coordinated multirobot missions for lunar sample collection in an unknown environment
In this paper, the recent results of the space project IMPERA are presented. The goal of
IMPERA is the development of a multirobot planning and plan execution architecture with a …
IMPERA is the development of a multirobot planning and plan execution architecture with a …
Semantic map annotation through UAV video analysis using deep learning models in ROS
Enriching the map of the flight environment with semantic knowledge is a common need for
several UAV applications. Safety legislations require no-fly zones near crowded areas that …
several UAV applications. Safety legislations require no-fly zones near crowded areas that …
Multiview vision-based human crowd localization for UAV fleet flight safety
This paper presents a centralized, vision-based method for robust, on-the-fly 3D localization
and map** of human crowds in large-scale outdoor environments, assuming their …
and map** of human crowds in large-scale outdoor environments, assuming their …
The interactive urban robot IURO: towards robot action in human environments
Spatial reasoning and semantic environment understanding is a fundamental ability of
robots navigating in unstructured dynamic environments. Since spatial and semantic …
robots navigating in unstructured dynamic environments. Since spatial and semantic …
A semantic labeling of the environment based on what people do
In this work, a system is developed for semantic labeling of locations based on what people
do. This system is useful for semantic navigation of mobile robots. The system differentiates …
do. This system is useful for semantic navigation of mobile robots. The system differentiates …
An application of fuzzy DL-based semantic perception to soil container classification
M Eich - 2013 IEEE Conference on Technologies for Practical …, 2013 - ieeexplore.ieee.org
Semantic perception and object labeling are key requirements for robots interacting with
objects on a higher level. Symbolic annotation of objects allows the usage of planning …
objects on a higher level. Symbolic annotation of objects allows the usage of planning …
Dealing with semantic knowledge in robotics with a probabilistic description logic
F Corrêa, R Belizia Polastro… - … 30 de agosto al 3 de …, 2010 - sedici.unlp.edu.ar
One has often to deal with large quantities of data in robotics, either coming from sensors or
from background knowledge. Background knowledge, with attached semantics, are usually …
from background knowledge. Background knowledge, with attached semantics, are usually …
Semantic Map** for Autonomous Robots in Urban Environments
C Landsiedel - 2018 - mediatum.ub.tum.de
Increasing autonomy and interactivity of mobile robotic technologies require the inclusion of
semantic information in environment representations. This thesis focuses on representations …
semantic information in environment representations. This thesis focuses on representations …