The peopleremover—removing dynamic objects from 3-d point cloud data by traversing a voxel occupancy grid

J Schauer, A Nüchter - IEEE robotics and automation letters, 2018 - ieeexplore.ieee.org
Even though it would be desirable for most postprocessing purposes to obtain a point cloud
without moving objects in it, it is often impractical or downright impossible to free a scene …

Socially aware robot navigation system in human-populated and interactive environments based on an adaptive spatial density function and space affordances

A Vega, LJ Manso, DG Macharet, P Bustos… - Pattern Recognition …, 2019 - Elsevier
Traditionally robots are mostly known by society due to the wide use of manipulators, which
are generally placed in controlled environments such as factories. However, with the …

Recognition and pose estimation of auto parts for an autonomous spray painting robot

W Lin, A Anwar, Z Li, M Tong, J Qiu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The autonomous operation of industrial robots with minimal human supervision has always
been in high demand. To prepare the autonomous operation of a car part spray painting …

Topological indoor localization and navigation for autonomous mobile robot

H Cheng, H Chen, Y Liu - IEEE Transactions on Automation …, 2014 - ieeexplore.ieee.org
Mobile robot typically has limited on-board resources and may be applied in different indoor
environment. Thus, it is necessary that they can learn a map and navigate themselves …

Robust moving objects detection in lidar data exploiting visual cues

G Postica, A Romanoni… - 2016 IEEE/RSJ …, 2016 - ieeexplore.ieee.org
Detecting moving objects in dynamic scenes from sequences of lidar scans is an important
task in object tracking, mapping, localization, and navigation. Many works focus on changes …

Signal processing on static and dynamic 3d meshes: Sparse representations and applications

AS Lalos, E Vlachos, G Arvanitis, K Moustakas… - IEEE …, 2019 - ieeexplore.ieee.org
Nowadays, real-time 3D scanning and reconstruction becomes a requirement for a variety of
interactive applications in various fields, including heritage science, gaming, engineering …

Classifying 3D objects in LiDAR point clouds with a back-propagation neural network

W Song, S Zou, Y Tian, S Fong, K Cho - Human-centric Computing and …, 2018 - Springer
Due to object recognition accuracy limitations, unmanned ground vehicles (UGVs) must
perceive their environments for local path planning and object avoidance. To gather high …

Visual-based autonomous unmanned aerial vehicle for inspection in indoor environments

RB Grando, PM Pinheiro, NP Bortoluzzi… - 2020 Latin American …, 2020 - ieeexplore.ieee.org
This paper presents a visual-based autonomous Unmanned Aerial Vehicle (UAV) capable
to perform a broad range of navigation tasks in indoor environments. Unlike other related …

Socially acceptable robot navigation over groups of people

A Vega-Magro, L Manso, P Bustos… - 2017 26th IEEE …, 2017 - ieeexplore.ieee.org
Considering the widespread use of mobile robots in different parts of society, it is important
to provide them with the capability to behave in a socially acceptable manner. Therefore, a …

Enabling situational awareness via augmented reality of autonomous robot-based environmental change detection

C Reardon, J Gregory, C Nieto-Granda… - … 2020, Held as Part of the …, 2020 - Springer
Accurately detecting changes in one's environment is an important ability for many
application domains, but can be challenging for humans. Autonomous robots can easily be …