Insta Viewer V1.0 No Survey
Mozell Battista
The vLoc3 RTK-Pro receiver is the first to add RTK GNSS accuracy to a utility locator. Using the RTK-Pro internal cellular module with 4G LTE capabilities, the operator has the ability to connect to NTRIP RTK (Real-Time Kinematic ) caster that provides RTCM 3 corrections. By utilizing these corrections, the operator can collect both utility location data along with the geographical location of the utility with survey-grade accuracy.
The RTK-Pro was designed for use at all operator levels, utilizing user-friendly and intuitive locate screens. Operators simply confirm the utility data with the press of a button and align the electronic spirit level to store the data. All field data is sent to the cloud and retained in the receivers onboard storage for review and exporting to external mapping programs.
The highly user-configurable vLoc3 series contains eight passive locate modes, fault find mode, SD (showing the direction of outgoing current), and a range of configurable frequenciesn from 98Hz to 200 kHz. Visual and mechanical vibration alerts can also be configured by the user providing warnings for shallow depth, overload, overhead cables, and excessive swinging. Optional features include Tx-Link that enables the user to change the frequencies of the transmitter, power output and operate most of the features of the transmitter remotely.
Manage a single or fleet of vLoc3 series utility locators with the free MyLocator3 app. Configure locators by turning on or off features, selecting which frequencies the user has access to and creating custom startup screens. When the locator is connected to a computer running the MyLocator3 software, the program will automatically search...
When used with Bluetooth enabled Vivax-Metrotech receivers, the VMMap Utility Mapping app records data from the field which is instantly available online via the VMMap Cloud web portal or can be shared by using the email function in the app. Location data is obtained from the mobile phone, or an external GPS device of...
The VMMap Web Portal is the cloud-based side to the VMMap utility mapping app. Locate information such as depth readings, GPS coordinates, the distance between locates, current on the line and more are captured and displayed in the web portal. The web portal's data is compatible with Google and Apple Maps, Asset Management,...
VOSviewer version 1.6.20 was released on October 31, 2023. This version offers improved features for creating maps based on data downloaded through APIs. It also supports creating maps based on data exported from Scopus in the new Scopus file format.
VOSviewer version 1.6.19 was released on January 23, 2023. This version offers a number of improvements in VOSviewer's support for creating maps based on OpenAlex data. It also fixes some problems in creating maps based on Web of Science data.
VOSviewer version 1.6.16 was released on November 25, 2020. This version fixes some problems in VOSviewer's functionality for working with data from Dimensions and Semantic Scholar. It also offers new functionality for querying the Microsoft Academic API using author, affiliation, and journal IDs and for creating term co-occurrence maps based on Semantic Scholar data.
VOSviewer version 1.6.15 was released on April 1, 2020. This version fixes some problems in VOSviewer's functionality for querying the API of Microsoft Academic. It also offers a few new options for querying the Microsoft Academic API, including options for searching in abstracts and for filtering out duplicate documents and non-scientific content.
VOSviewer version 1.6.14 was released on January 27, 2020. This version offers improved support for querying APIs. DOI files provide increased flexibility and can now also be used to query the Microsoft Academic API. The title search option for querying the Crossref API has been repaired. Also, security issues on Mac systems have been fixed.
February 29, 2020. A bug has been discovered in VOSviewer's functionality for creating citation and bibliographic coupling maps based on Microsoft Academic data. This bug will be fixed in an update of VOSviewer that we expect to be released soon. In the meantime, we recommend not to use VOSviewer's functionality for creating citation and bibliographic coupling maps based on Microsoft Academic data.
October 16, 2019. There are problems with VOSviewer's support for the APIs of Crossref and Microsoft Academic. In the case of the Crossref API, searching in titles of documents is not possible at the moment. The Microsoft Academic API doesn't work at all. We hope these problems will be fixed soon.
August 13, 2018. On many Windows systems, the Windows Defender software currently indicates that the Windows version of VOSviewer causes a security threat. This warning is incorrect. We are in contact with Microsoft's Windows Defender team to solve this problem. As a temporary solution, you may use the VOSviewer version for other systems.
May 29, 2018. Many users of VOSviewer have reported problems in working with CSV files exported from Scopus. These problems are caused by bugs in the export functionality of Scopus. The Scopus team is working on fixing these bugs. In the meantime, we recommend to make use of other data sources, such as Web of Science, PubMed, or Crossref.
March 22, 2019. Many users of VOSviewer have reported problems in working with CSV files exported from Scopus. These problems are caused by issues in the export functionality of Scopus. We are working together with the Scopus team to fix these issues.
VOSviewer version 1.6.9 was released on August 29, 2018. This version offers support for data exported from Dimensions. Data from Dimensions can be used to create co-authorship, citation, and bibliographic coupling maps. More information is available here.
VOSviewer version 1.6.8 was released on April 27, 2018. This version offers a number of smaller improvements. In particular, the algorithms for creating citation-based maps have been improved and support for creating maps of organizations has been extended.
On January 23-26, 2024, CWTS organizes the next edition of its VOSviewer course. The course takes place online. Participants will learn about all ins and outs of VOSviewer. The course is taught by the VOSviewer developers and includes a lot of hands-on practice with the software.
VOSviewer Online is a web-based version of VOSviewer. It runs in a web browser and can be used to share interactive visualizations and to embed these visualizations in online platforms. More information can be found in this blog post.
CitNetExplorer is a software tool for visualizing and analyzing citation networks of scientific publications. Citation networks can be explored interactively, for instance by drilling down into a network and by identifying clusters of closely related publications.
Gazebo (opens new window) is a powerful 3D simulation environment for autonomous robots that is particularly suitable for testing object-avoidance and computer vision.This page describes its use with SITL and a single vehicle.Gazebo can also be used with HITL and for multi-vehicle simulation.
Gazebo is often used with ROS, a toolkit/offboard API for automating vehicle control.If you plan to use PX4 with ROS you should follow the ROS Instructions to install both ROS and Gazebo (and thereby avoid installation conflicts).
The easiest way to do this is to open a terminal in the root directory of the PX4 PX4-Autopilot repository and call make for the desired target.For example, to start a quadrotor simulation (the default):
The console will print out status as PX4 loads the airframe-specific initialisation and parameter files, waits for (and connects to) the simulator.Once there is an INFO print that [ecl/EKF] is commencing GPS fusion the vehicle is ready to arm.
Gazebo can simulate GPS noise that is similar to that typically found in real systems (otherwise reported GPS values will be noise-free/perfect).This is useful when working on applications that might be impacted by GPS noise - e.g. precision positioning.
PX4 supports a number of Gazebo Worlds, which are stored in PX4/sitl_gazebo/worlds (opens new window))By default Gazebo displays a flat featureless plane, as defined in empty.world (opens new window).
If using a world that recreates a real location (e.g. a particular airport) this can result in a very obvious mismatch between what is displayed in the simulated world, and what is shown on the ground station map.To overcome this problem you can set the location of the world origin to the GPS co-ordinates where it would be in "real life".
The location of the world is defined in the .world file by specifying the location of the origin using the spherical_coordinates tag.The latitude, longitude, elevation must all be specified (for this to be a valid).
You can test this by spawning a rover in the Sonoma Raceway World using the following make command (note that spawning takes longer the first time as the model needs to be downloaded from the model database):
In addition to the existing cmake targets that run sitl_run.sh with parameters for px4 to load the correct model it creates a launcher targets named px4_ that is a thin wrapper around original sitl px4 app.This thin wrapper simply embeds app arguments like current working directories and the path to the model file.
The Gazebo survey camera simulates a MAVLink camera (opens new window) that captures geotagged JPEG images and sends camera capture information to a connected ground station.The camera also supports video streaming.It can be used to test camera capture, in particular within survey missions.
To put the vehicle into flight termination state, you can force it to fail a safety check that has flight termination set as the failsafe action.For example, you could do this by forcing a Geofence violation.
PX4 SITL for Gazebo supports UDP video streaming from a Gazebo camera sensor attached to a vehicle model.When streaming is enabled, you can connect to this stream from QGroundControl (on UDP port 5600) and view video of the Gazebo environment from the simulated vehicle - just as you would from a real camera.The video is streamed using a gstreamer pipeline and can be enabled/disabled using a button in the Gazebo UI.
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