The offline_node is the fastest way of SLAMing a bag of sensor data.It does not listen on any topics, instead it reads TF and sensor data out of a set of bags provided on the commandline.It also publishes a clock with the advancing sensor data, i.e. replaces rosbag play.In all other regards, it behaves like the cartographer_node.Each bag will become a separate trajectory in the final state.Once it is done processing all data, it writes out the final Cartographer state and exits.
The pbstream_map_publisher is a simple node that creates a static occupancy grid out of a serialized Cartographer state (pbstream format).It is an efficient alternative to the occupancy grid node if live updates are not important.
I am using Cartographer (rosdistro Melodic on Ubuntu 18.04) for 3D slam. I am interested in having (in real time) a 3D representation of the occupied space, possibly in the form of 3D occupancy grid maps.So far I just managed to have (from the /map topic of the Occupancy Grid Node) a 2D projection (x-rays), but as far as I understood internally Cartographer maintains a 3D occupancy grid map (or something similar).Is it possible to access this map? Or the only way is to find myself the 3D structure in the code and publish it?Thank you very much.
We must necessarily begin with the prevailing cartographic narrative about the Pacific Railway Surveys (fig.1). W. J. Keeler, a civil engineer with the Department of the Interior, constructed this map with the data compiled by the five Pacific Railway survey teams that trudged through the West in the early 1850s. In this cartographic story, the eastern and western extremities of the map are cloaked in a grid, indicating lands surveyed by the federal government. Projected railway lines meander across the West. Red marks denote established Indian reservations, while smaller blots of black, gold, and silver locate deposits of coal, gold, and other mineral deposits.
Grids are a necessity when you are making your battle maps and it is easy to add a grid in CC3+ through the Draw Menu (Hex or Square Overlay). And this is quite OK for many maps, but with just a little bit more work, one can make it much prettier. For example, a common desire is to only have the grid visible over the floors in the rooms, where the characters can actually walk. And maybe you have a tiled floor and want the grid aligned to that? In this article, I am going to discuss some of the things you can do with your grid.
Now, while this grid should suffice, it still covers the whole map. And it is also on top of our symbols and walls. I like to hide the grid behind those, unless the map is so crowded that would obscure the entire grid. But there is no reason every inch of every grid line should be visible, the grid is just a guide.
Now, to change the scale of the fill, click the fill style indicator in the top right, then go to the bitmap files tab of the dialog that opens. Select the correct fill (flagstones_brown CA54) and then look at the scale values at the bottom of the dialog. If you are using my file, they will be 30. We already found that they needed to be reduced by a factor of 1.2, so divide 30 by 1.2, which yields 25. Change both width and height to 25 and click ok, and voila, the tiles will match the grid exactly. (I actually cheated a bit here. In this style, this fill is scaled as 25 by default, so the tiles would normally fit the grid out of the box. But I wanted to show how to handle this here, because not all tiles in all styles will have this property, floor tiles are primarily designed by the artist to look nice, not work as a grid)
Inherits from SpriteLayer. Layer.tilelayer:getGridBounds () Gets the bounds of the layer (in tiles). Returns:
This is the fifth level of a five-level series. It is distinguished
from the lower levels by the program and lead cartographer responsibilities. Positions in this class function with
a high degree of independence within established statutory and agency guidelines. Positions in this class have
significant regulatory impact but are expected to provide a strong advisory role to prevent adversarial confrontations
between their agencies and user of services provided. The employee provides advice, instruction and information
to local government and agency staff regarding new cartographic technologies, rules, and statute revisions.
Employees in this class are in contact weekly by telephone or
in-person with personnel such as cartographers, county clerks, county assessors, and county commissioners and with
other agencies to exchange information about deeds, surveys, roads, zones, boundaries, maps, and mapping standards,
and to provide an analysis of recommendations for improvement and compliance on mapping standards and records maintenance.
Employees are in contact monthly by telephone or in person with other State and Federal agencies such as the State
Highway Department, United States Forest Service and Bureau of Land Management to obtain information such as ownership
of lands, status of road construction, and official boundaries. Employees are in contact monthly by telephone with
title companies to obtain or clarify information pertaining to problems, ownership, or transfer of property titles,
and with surveyors to obtain or clarify information pertaining to surveys they have done. Employees are in contact
weekly with private companies, the public and other agencies to provide information concerning availability and
cost of maps and aerial photography; and with the public to provide information such as location of property boundaries
and how to locate these boundaries, types of deeds needed to convey property and who should prepare these documents,
the options that are available to resolve boundary disputes, procedures needed to research chains of title, road
dedications, and vacation ordinances.
We developed a methodology to estimate maximum brine injection rates in subsurface formations across wide geographic areas using inverse modeling-based optimization techniques. We first defined geographic areas where groundwater was too saline to meet the standard for drinking water and where sufficient confining units existed above and below the injection layers. We then assumed concurrent brine injection into a system of wells on a consistent 25 km x 25 km spacing across the entire modeled area. Taking advantage of symmetry, we represented each 25 km x 25 km injection area as a 12.5 km-long one-dimensional radial model, divided into 100 logarithmically-sized grid blocks. A single layer of grid blocks was used because homogenous porous media were assumed. Brine injection was simulated into the leftmost (innner) grid block, and the injection rate was automatically adjusted to meet a maximum pressure buildup to 80% of the fracturing pressure, estimated as the least principal stress, at the injection location. A secondary constraint of 1 bar maximum pressure increase at the right-most (far-field boundary) grid block after 50 years of injection was applied. We demonstrated this method on three stratigraphic layers that overlie the Mt. Simon Sandstone (MSS) in the Illinois Basin, as well as in the MSS itself, because the MSS is a well-known CO2 injection target with a large estimated CO2 storage capacity. CO2 storage in the MSS could be optimized by extracting brine from that formation and injecting it elsewhere, so the brine injection rates estimated with the models contained herein could help to refine CO2 storage capacity estimates.
This paper describes an approach for harmonizing historical vector categorical maps with related modern maps. The approach aims at the correction of geometric distortions and semantic disagreements using alignment processes and analysis of thematic coherence. The harmonized version of the map produced by this approach can already be overlaid with other maps, what was unfeasible with the original map.The positional errors of the old map are reduced by two consecutive geometric adjustments, which use transformations usually available in most GIS software. The thematic consistency between the old and the modern map is achieved by harmonizing their classification systems and by the inclusion of specific contents missing in the early map, but represented in the modern map (e.g. small rivers).This approach was tested in the geometric and thematic harmonization of the Portuguese Land Cover/Land Use (LCLU) map for 1990 (COS90). In this test, the 1995 orthorectified aerial images and the 1995 LCLU map (COS95) were used as reference sources of higher positional accuracy, to align the COS90 map. COS90 was firstly adjusted with the 1995 aerial images by an NTV2 grid transformation, developed by the authors. Then, for reduction of the local distortions, the map resulting from the first transformation was aligned with the COS95 by a rubber-sheeting linear interpolation transformation. This geometric harmonization enabled a decrease of the Root Mean Square Error of COS90 from 204 meters to 13 meters. The thematic harmonization of COS90 enabled its comparison with modern related maps, and the integration of 201 river sections, that were missing because the specifications used in the production of the original map did not allow their representation.
aa06259810