Robotics, Computer Vision and Intelligent Systems de Péter Galambos

Robotics, Computer Vision and Intelligent Systems: First International Conference, ROBOVIS 2020, Virtual Event, November 4-6, 2020, and Second International Conference, ROBOVIS 2021, Virtual Event, October 27-28, 2021, Revised Selected Papers: Communications in Computer and Information Science, cartea 1667

Péter Galambos

Erdal Kayacan

Kurosh Madani

en Limba Engleză Paperback – 11 noi 2022

This volume constitutes the papers of two workshops which were held in conjunction

with the First International Conference on Robotics, Computer Vision and Intelligent Systems,

ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,

ROBOVIS 2021, Virtual Event, in October 25-27, 2021.

The 11 revised full papers presented in this book were carefully reviewed and selected

from 53 submissions.

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Specificații

ISBN-13: 9783031196492
ISBN-10: 303119649X
Pagini: 231
Ilustrații: XII, 231 p. 123 illus., 100 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.35 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Multi-sensorial Environment Perception in Urban Environment.- An Extended Visual Intelligence Scheme for Disassembly in Automated Recycling Routines.- Multi-agent Path Finding and Acting with Small Reflex-based Mobile Robots.- Design and Experimental Analysis of an Adaptive Cruise Control.- Human-likeness Indicator for Robot Posture Control and Balance.- Visual Guidance of an on-Orbit Free-floating Manipulator using a Mobile Camera.- Semantic Segmentation of Marine Species in an Unconstrained Underwater Environment.- Social Embodiment of Companion Robots in Smart Spaces: IoRT for Independent Living.- Rapid Structure from Motion Frame Selection for Markerless Monocular SLAM.- Detecting Tool Keypoints with Synthetic Training Data.- Generating Versatile Training Samples for UAV Trajectory Prediction.