top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in Mobile Mapping Technologies
Advances in Mobile Mapping Technologies
Autore Lehtola Ville
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (268 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D camera
3D city model
3D mapping
3D simulation
3D surveying
6-DoF
accuracy
boresight angles
building 3D modelling
CAM localization
CNN features
configuration analysis
control points
controllability
convolutional neural networks
correlation coefficient
data fusion
dataset
deep learning
DSIEKF
DTM
embedded-systems
evaluation
exposure control
F-CNN
geometrical constraints
georeferencing
graph matching
guidance
Helmert variance component estimation
IEKF
imaging network design
inception
laser scanning
lever arm
Lidar
LiDAR
line feature matching method
loop closure detection
manhole cover
mobile laser scanning
Mobile Laser Scanning
mobile mapping
mobile mapping systems
MSS
Ouster OS-1-64
outdoor
Pandar64
parking statistics
path planning
performance evaluation
photogrammetry
plane-based calibration field
point and line features
point cloud
point cloud coverage
point cloud density
point clouds
real-time
RetinaNet
RGB-D
robot operating system
scene completion
semantic
semantic topology graph
smart city
synthetic
TLS reference point clouds
transfer learning
V-SLAM
vehicle detection
view planning
visual SLAM
visual-inertial odometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566470903321
Lehtola Ville  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mobile Mapping Technologies
Mobile Mapping Technologies
Autore Chiang Kai-Wei
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (334 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 2D laser range-finder
2D laser scanner
3D digitalization
3D point clouds
3D processing
automated database construction
Bayesian inference
binary vocabulary
category matching
constrained nonlinear least-squares problem
convolutional neural network (CNN)
crowdsourcing trajectory
cultural heritage
dynamic environment
encoder
enhanced RANSAC
fingerprinting
geometric features
grammar
handheld
image retrieval
IMMS
indoor localization
indoor mapping
indoor scenes
indoor topological localization
laser scanning
LiDAR
Lidar localization system
LRF
map management
MLS
mobile laser scanning
mobile mapping
motion estimation
multi-group-step L-M optimization
OctoMap
optical sensors
ORB-SLAM2
plant vigor
point cloud
point clouds
portable mobile mapping system
precision agriculture
quadric fitting
rapid relocation
restoration
RGB-D camera
robust statistical analysis
room type tagging
second order hidden Markov model
segmentation-based feature extraction
self-calibration
semantic enrichment
sensor fusion
sensors configurations
SLAM
small-scale vocabulary
smartphone
terrestrial laser scanning
trajectory fusion
tunnel central axis
tunnel cross section
unmanned vehicle
vine size
visual landmark sequence
visual positioning
visual simultaneous localization and mapping
Vitis vinifera
wearable mobile laser system
ISBN 3-03928-019-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367736903321
Chiang Kai-Wei  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui