Results 51 to 60 of about 16,286 (236)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

2D Semantic Segmentation: Recent Developments and Future Directions

open access: yesFuture Internet, 2023
Semantic segmentation is a critical task in computer vision that aims to assign each pixel in an image a corresponding label on the basis of its semantic content.
Yu Guo   +3 more
doaj   +1 more source

Advances in GNSS Positioning and GNSS Remote Sensing

open access: yesSensors
Scientists and engineers use data utilize global navigation satellite systems (GNSSs) for a multitude of tasks: autonomous navigation, transport monitoring, construction, GNSS reflectometry, GNSS ionosphere monitoring, etc [...]
Yury V. Yasyukevich   +2 more
openaire   +3 more sources

Control System for the Navigation of the Agricultural Robots: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía   +3 more
wiley   +1 more source

An Improved Hatch Filter Algorithm towards Sub-Meter Positioning Using only Android Raw GNSS Measurements without External Augmentation Corrections

open access: yesRemote Sensing, 2019
In May 2016, the availability of GNSS raw measurements on smart devices was announced by Google with the release of Android 7. It means that developers can access carrier-phase and pseudorange measurements and decode navigation messages for the first ...
Jianghui Geng   +4 more
doaj   +1 more source

Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Bathymetric LiDAR captures river topography efficiently for clear and shallow water, but for mountain rivers, whitewater rapids still pose challenges. This study proposes a novel method to enable the extraction of bottom returns specifically in turbulent whitewater sections.
Jan Rhomberg‐Kauert   +5 more
wiley   +1 more source

A temporal-domain solar radiation pressure model for BDS-3 MEO orbit prediction

open access: yesGeo-spatial Information Science
Orbit prediction (OP) for global navigation satellite system (GNSS) satellites is crucial for current location-based Internet of Things (IoT) applications.
Min Li   +3 more
doaj   +1 more source

Kinematic Measurement of the Railway Track Centerline Position by GNSS/INS/Odometer Integration

open access: yesIEEE Access, 2019
Accurate absolute measurement of existing lines is a task of fundamental importance to provide scientific basis for reconstruction. Traditional railway track survey methods in combination with classical geodetic surveying apparatus such as total stations
Yukun Zhou, Qijin Chen, Xiaoji Niu
doaj   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro   +5 more
wiley   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

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