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Swarm Robotics / Giandomenico Spezzano
| Swarm Robotics / Giandomenico Spezzano |
| Autore | Spezzano Giandomenico |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico | Computer science |
| Soggetto non controllato |
self-organization
signal source localization multi-robot system sensor deployment parallel technique shape normalization genetic algorithm multiple robots optimization improved potential field optimal configuration autonomous docking asymmetrical interaction comparison behaviors patterns self-assembly robots congestion control surface-water environment target recognition coordinate motion UAV swarms formation reconfiguration swarm robotics swarm intelligence artificial bee colony algorithm obstacle avoidance fish swarm optimization search algorithm robotics time-difference-of-arrival (TDOA) formation mobile robots formation control meta-heuristic event-triggered communication search virtual structure 3D model identification surveillance event-driven coverage scale-invariant feature transform system stability Swarm intelligence algorithm bionic intelligent algorithm unmanned aerial vehicle underwater environment artificial flora (AF) algorithm swarm behavior weighted implicit shape representation Cramer-Rao low bound (CRLB) environmental perception particle swarm optimization modular robots cooperative target hunting virtual linkage multi-AUV consensus control panoramic view nonlinear disturbance observer sliding mode controller path optimization Swarm Chemistry multi-agents |
| ISBN |
9783038979234
3038979236 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674019203321 |
Spezzano Giandomenico
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
| UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments |
| Autore | Gonzalez Toro Felipe |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (388 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D registration
accuracy aerial systems applications, inspection robotics, bridge inspection with UAS autonomous localization backpack mobile mapping bioinspired map bundle block adjustment change detection coastal mapping coastal monitoring computer architecture consensus theory convolutional neural networks data collection decision making deep learning Deep Reinforcement-Learning Digital Elevation Models (DEMs) digital surface model direct georeferencing distributed state estimation DSM assessment emergency landing geomorphological evolution GNSS GPS-denied environment ground effect image alignment inspection Kalman filter Kilim River landing laser guidance machine vision map exploration moving camera multi-agent multi-robot multiple UAV navigation multirotor navigation navigation in GPS/GNSS-denied environments onboard GNSS RTK OODA optical flow orthomosaic particle filter photogrammetry POMDP real-time remote sensing search search and rescue semantics sensor faults snow depth snow field snow mapping snow-covered area Structure-from-Motion (SfM) target detection technical guidelines tidal phase topologic mapping UAS UAS traffic management UAV UAV imagery UAV photogrammetry UAV swarms underground cellars unmanned aerial system unmanned aerial vehicle unmanned aerial vehicles Unmanned Aerial Vehicles (UAVs) video navigation vision and action vision-based navigation visual detection visual tracking water level changes YOLO |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557343503321 |
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Gonzalez Toro Felipe
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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