Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments

Currently, with the popularity of smart devices, assured Position Navigation and Time (PNT) is critical for these devices and some fundamental infrastructures, i.e., the power grid. The Global Navigation Satellite System (GNSS) is dominant in providing PNT information due to its coverage and high ac...

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Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2023
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DBA
IMU
CKF
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collection Directory of Open Access Books
description Currently, with the popularity of smart devices, assured Position Navigation and Time (PNT) is critical for these devices and some fundamental infrastructures, i.e., the power grid. The Global Navigation Satellite System (GNSS) is dominant in providing PNT information due to its coverage and high accuracy. However, its signals are weak, and it is vulnerable; multipath and None-Line-Of-Signals (NLOS) are the major errors that occur with regard to the GNSS in applications in urban areas. Advanced signal processing methods are expected to improve its resilience and assurance. In addition, the GNSS is fragile to interference and spoofing, which should be emphasized for unmanned systems and smart devices. This Special Issue aimed to provide a platform for researchers to publish innovative work on the advanced technologies for position and navigation under GNSS signal-challenging or -denied environments.
format Online
id doab-20.500.12854ir-100898
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1008982024-03-28T03:31:34Z Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments Jiang, Changhui Chen, Yuwei Meng, Qian Wu, Panlong Xu, Bing Guan, Lianwu Gao, Wang Li, Zeyu differential GNSS DBA low-cost combined positioning multi-sensor fusion visual point and line feature SLAM LiDAR-visual-inertial odometry forest point cloud Unmanned Aerial Vehicle (UAV) Terrestrial Laser Scanning (TLS) canopy cover event camera feature tracking intensity/inertial integration pseudorange positioning branch and bound nonlinear least squares eLoran trust region reflective algorithm initialization LiDAR-inertial odometry point cloud registration visual SLAM instance segmentation neural network pose estimation GNSS IMU urban positioning fault detection and exclusion LIDAR coupling methods mobile RTK low-cost GNSS receiver positioning accuracy LiDAR data tree characteristics terrain conditions precision forestry TreeNet geographic object-based approach commercial forests step detection indoor positioning unconstrained state peak detectors adaptive threshold variable sliding window visibility graph computational geometry path planning mapping tightly-coupled integration LIDAR-inertial SLAM rod-shaped and planar feature sliding-window graph optimization framework INS/GNSS integrated navigation CNN-GRU CKF GNSS outage multi-GNSS real-time kinematic maximum correntropy criterion Kalman filter wide-lane ionosphere-free GNSS/INS 3D LiDAR fault detection localization integrity assessment cooperation SLAM multi robot system UAV UGV map assistance particle filter global search algorithm pedestrian navigation Simultaneous Localization and Mapping autonomous driving high definition map thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Currently, with the popularity of smart devices, assured Position Navigation and Time (PNT) is critical for these devices and some fundamental infrastructures, i.e., the power grid. The Global Navigation Satellite System (GNSS) is dominant in providing PNT information due to its coverage and high accuracy. However, its signals are weak, and it is vulnerable; multipath and None-Line-Of-Signals (NLOS) are the major errors that occur with regard to the GNSS in applications in urban areas. Advanced signal processing methods are expected to improve its resilience and assurance. In addition, the GNSS is fragile to interference and spoofing, which should be emphasized for unmanned systems and smart devices. This Special Issue aimed to provide a platform for researchers to publish innovative work on the advanced technologies for position and navigation under GNSS signal-challenging or -denied environments. 2023-06-23T09:51:47Z 2023-06-23T09:51:47Z 2023 book ONIX_20230623_9783036576305_130 9783036576305 9783036576312 https://directory.doabooks.org/handle/20.500.12854/100898 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7366 https://mdpi.com/books/pdfview/book/7366 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7631-2 10.3390/books978-3-0365-7631-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036576305 9783036576312 450 Basel open access
spellingShingle differential GNSS
DBA
low-cost
combined positioning
multi-sensor fusion
visual point and line feature
SLAM
LiDAR-visual-inertial odometry
forest point cloud
Unmanned Aerial Vehicle (UAV)
Terrestrial Laser Scanning (TLS)
canopy cover
event camera
feature tracking
intensity/inertial integration
pseudorange positioning
branch and bound
nonlinear least squares
eLoran
trust region reflective algorithm
initialization
LiDAR-inertial odometry
point cloud registration
visual SLAM
instance segmentation
neural network
pose estimation
GNSS
IMU
urban positioning
fault detection and exclusion
LIDAR
coupling methods
mobile RTK
low-cost GNSS receiver
positioning accuracy
LiDAR data
tree characteristics
terrain conditions
precision forestry
TreeNet
geographic object-based approach
commercial forests
step detection
indoor positioning
unconstrained state
peak detectors
adaptive threshold
variable sliding window
visibility graph
computational geometry
path planning
mapping
tightly-coupled integration
LIDAR-inertial SLAM
rod-shaped and planar feature
sliding-window
graph optimization framework
INS/GNSS integrated navigation
CNN-GRU
CKF
GNSS outage
multi-GNSS
real-time kinematic
maximum correntropy criterion
Kalman filter
wide-lane
ionosphere-free
GNSS/INS
3D LiDAR
fault detection
localization
integrity assessment
cooperation SLAM
multi robot system
UAV
UGV
map assistance
particle filter
global search algorithm
pedestrian navigation
Simultaneous Localization and Mapping
autonomous driving
high definition map
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title_full Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title_fullStr Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title_full_unstemmed Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title_short Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments
title_sort advanced technologies for position and navigation under gnss signal challenging or denied environments
topic differential GNSS
DBA
low-cost
combined positioning
multi-sensor fusion
visual point and line feature
SLAM
LiDAR-visual-inertial odometry
forest point cloud
Unmanned Aerial Vehicle (UAV)
Terrestrial Laser Scanning (TLS)
canopy cover
event camera
feature tracking
intensity/inertial integration
pseudorange positioning
branch and bound
nonlinear least squares
eLoran
trust region reflective algorithm
initialization
LiDAR-inertial odometry
point cloud registration
visual SLAM
instance segmentation
neural network
pose estimation
GNSS
IMU
urban positioning
fault detection and exclusion
LIDAR
coupling methods
mobile RTK
low-cost GNSS receiver
positioning accuracy
LiDAR data
tree characteristics
terrain conditions
precision forestry
TreeNet
geographic object-based approach
commercial forests
step detection
indoor positioning
unconstrained state
peak detectors
adaptive threshold
variable sliding window
visibility graph
computational geometry
path planning
mapping
tightly-coupled integration
LIDAR-inertial SLAM
rod-shaped and planar feature
sliding-window
graph optimization framework
INS/GNSS integrated navigation
CNN-GRU
CKF
GNSS outage
multi-GNSS
real-time kinematic
maximum correntropy criterion
Kalman filter
wide-lane
ionosphere-free
GNSS/INS
3D LiDAR
fault detection
localization
integrity assessment
cooperation SLAM
multi robot system
UAV
UGV
map assistance
particle filter
global search algorithm
pedestrian navigation
Simultaneous Localization and Mapping
autonomous driving
high definition map
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet differential GNSS
DBA
low-cost
combined positioning
multi-sensor fusion
visual point and line feature
SLAM
LiDAR-visual-inertial odometry
forest point cloud
Unmanned Aerial Vehicle (UAV)
Terrestrial Laser Scanning (TLS)
canopy cover
event camera
feature tracking
intensity/inertial integration
pseudorange positioning
branch and bound
nonlinear least squares
eLoran
trust region reflective algorithm
initialization
LiDAR-inertial odometry
point cloud registration
visual SLAM
instance segmentation
neural network
pose estimation
GNSS
IMU
urban positioning
fault detection and exclusion
LIDAR
coupling methods
mobile RTK
low-cost GNSS receiver
positioning accuracy
LiDAR data
tree characteristics
terrain conditions
precision forestry
TreeNet
geographic object-based approach
commercial forests
step detection
indoor positioning
unconstrained state
peak detectors
adaptive threshold
variable sliding window
visibility graph
computational geometry
path planning
mapping
tightly-coupled integration
LIDAR-inertial SLAM
rod-shaped and planar feature
sliding-window
graph optimization framework
INS/GNSS integrated navigation
CNN-GRU
CKF
GNSS outage
multi-GNSS
real-time kinematic
maximum correntropy criterion
Kalman filter
wide-lane
ionosphere-free
GNSS/INS
3D LiDAR
fault detection
localization
integrity assessment
cooperation SLAM
multi robot system
UAV
UGV
map assistance
particle filter
global search algorithm
pedestrian navigation
Simultaneous Localization and Mapping
autonomous driving
high definition map
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url ONIX_20230623_9783036576305_130