Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example

E Kakaletsis, C Symeonidis, M Tzelepi… - Acm Computing …, 2021 - dl.acm.org
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 …

Semantic information for robot navigation: A survey

J Crespo, JC Castillo, OM Mozos, R Barber - Applied Sciences, 2020 - mdpi.com
There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …

Towards coordinated multirobot missions for lunar sample collection in an unknown environment

M Eich, R Hartanto, S Kasperski… - Journal of Field …, 2014 - Wiley Online Library
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 …

Semantic map annotation through UAV video analysis using deep learning models in ROS

E Kakaletsis, M Tzelepi, PI Kaplanoglou… - … Conference, MMM 2019 …, 2019 - Springer
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 …

Multiview vision-based human crowd localization for UAV fleet flight safety

E Kakaletsis, I Mademlis, N Nikolaidis, I Pitas - Signal Processing: Image …, 2021 - Elsevier
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 …

The interactive urban robot IURO: towards robot action in human environments

D Wollherr, S Khan, C Landsiedel, M Buss - Experimental Robotics: The …, 2016 - Springer
Spatial reasoning and semantic environment understanding is a fundamental ability of
robots navigating in unstructured dynamic environments. Since spatial and semantic …

A semantic labeling of the environment based on what people do

J Crespo, C Gómez, A Hernández, R Barber - Sensors, 2017 - mdpi.com
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 …

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 …

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 …

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 …