City of Lakeland DRI map service.

This dataset contains polygons depicting the award areas for New York State's Downtown Revitalization Initiative. The Downtown Revitalization Initiative (DRI), is transforming downtown neighborhoods into vibrant communities where the next generation of New Yorkers will want to live, work and raise families. Participating communities are nominated by the State’s ten Regional Economic Development Councils (REDCs) based on the downtown’s potential for transformation, and each community is awarded $10 million to develop a downtown strategic investment plan and implement key catalytic projects that advance the community’s vision for revitalization.

This ready-to-print map shows the proposed sidewalk projects only from the T-SPLOST program.On November 8, 2016, Fulton County voters, including residents of Sandy Springs, approved the Transportation Special Purpose Local Option Sales Tax (T-SPLOST), a referendum to fund transportation improvements within the participating cities. In Sandy Springs, T-SPLOST passed with 56.7 percent of the vote.Beginning in April 2017, a 0.75 percent (3/4 of a cent) sales tax will be collected to fund the T-SPLOST transportation projects. An estimate $103.7 million over five years is expected to be raised for use in Sandy Springs for transportation improvements. Who pays the 0.75 percent tax? The sales tax will be paid by anyone - residents, visitors, businesses and tourists - who buys taxable products or services inside Fulton County, outside City of Atlanta limits. Where will the money be spent? The projects identified and approved by the City Council as part of the T-SPLOST initiative are listed below:Traffic Efficiency Improvements: Provides for local intersection and traffic efficiency upgrades throughout the city ($18,000,000)Perimeter Transit Last Mile Connectivity: Construct Perimeter Trails and acquire right-of-way for future high capacity transit linking the Perimeter CID and other alternative transportation options ($8,000,000)Sidewalk Program: Continue filling sidewalk gaps throughout Sandy Springs ($11,000,000)Johnson Ferry/Mt Vernon Efficiency Improvements: Construct dual roundabouts at Johnson Ferry Road and Mt Vernon Hwy intersections, sidewalks, and return streets to two-way traffic operations. ($26,000,000)Mt Vernon Multi use Path: Create path from City Springs to Sandy Springs MARTA ($11,000,000)Hammond Drive, Phase 1 Efficiency Improvements: Complete design for Hammond Drive project to include 4 lanes with sidewalks, bicycle lanes, and transit lanes, and acquire right-of-way ($16,000,000)SR 400 Trail System: Connect Path 400 Trail from terminus at Loridans Drive to I-285/SR400 interchange trail ($5,500,000)Roberts Drive Multi use Path: Roswell road to Island Ford Park ($5,500,000)Roadway Maintenance and Paving: Provide for paving and roadway maintenance throughout the city ($16,785,429)

Overview

3DHD CityScenes is the most comprehensive, large-scale high-definition (HD) map dataset to date, annotated in the three spatial dimensions of globally referenced, high-density LiDAR point clouds collected in urban domains. Our HD map covers 127 km of road sections of the inner city of Hamburg, Germany including 467 km of individual lanes. In total, our map comprises 266,762 individual items.

Our corresponding paper (published at ITSC 2022) is available here. Further, we have applied 3DHD CityScenes to map deviation detection here.

Moreover, we release code to facilitate the application of our dataset and the reproducibility of our research. Specifically, our 3DHD_DevKit comprises:

Python tools to read, generate, and visualize the dataset,

3DHDNet deep learning pipeline (training, inference, evaluation) for map deviation detection and 3D object detection.

The DevKit is available here:

https://github.com/volkswagen/3DHD_devkit.

The dataset and DevKit have been created by Christopher Plachetka as project lead during his PhD period at Volkswagen Group, Germany.

When using our dataset, you are welcome to cite:

@INPROCEEDINGS{9921866, author={Plachetka, Christopher and Sertolli, Benjamin and Fricke, Jenny and Klingner, Marvin and Fingscheidt, Tim}, booktitle={2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)}, title={3DHD CityScenes: High-Definition Maps in High-Density Point Clouds}, year={2022}, pages={627-634}}

Acknowledgements

We thank the following interns for their exceptional contributions to our work.

Benjamin Sertolli: Major contributions to our DevKit during his master thesis

Niels Maier: Measurement campaign for data collection and data preparation

The European large-scale project Hi-Drive (www.Hi-Drive.eu) supports the publication of 3DHD CityScenes and encourages the general publication of information and databases facilitating the development of automated driving technologies.

The Dataset

After downloading, the 3DHD_CityScenes folder provides five subdirectories, which are explained briefly in the following.

1. Dataset

This directory contains the training, validation, and test set definition (train.json, val.json, test.json) used in our publications. Respective files contain samples that define a geolocation and the orientation of the ego vehicle in global coordinates on the map.

During dataset generation (done by our DevKit), samples are used to take crops from the larger point cloud. Also, map elements in reach of a sample are collected. Both modalities can then be used, e.g., as input to a neural network such as our 3DHDNet.

To read any JSON-encoded data provided by 3DHD CityScenes in Python, you can use the following code snipped as an example.

import json

json_path = r"E:\3DHD_CityScenes\Dataset\train.json" with open(json_path) as jf: data = json.load(jf) print(data)

1. HD_Map

Map items are stored as lists of items in JSON format. In particular, we provide:

traffic signs,

traffic lights,

pole-like objects,

construction site locations,

construction site obstacles (point-like such as cones, and line-like such as fences),

line-shaped markings (solid, dashed, etc.),

polygon-shaped markings (arrows, stop lines, symbols, etc.),

lanes (ordinary and temporary),

relations between elements (only for construction sites, e.g., sign to lane association).

1. HD_Map_MetaData

Our high-density point cloud used as basis for annotating the HD map is split in 648 tiles. This directory contains the geolocation for each tile as polygon on the map. You can view the respective tile definition using QGIS. Alternatively, we also provide respective polygons as lists of UTM coordinates in JSON.

Files with the ending .dbf, .prj, .qpj, .shp, and .shx belong to the tile definition as “shape file” (commonly used in geodesy) that can be viewed using QGIS. The JSON file contains the same information provided in a different format used in our Python API.

1. HD_PointCloud_Tiles

The high-density point cloud tiles are provided in global UTM32N coordinates and are encoded in a proprietary binary format. The first 4 bytes (integer) encode the number of points contained in that file. Subsequently, all point cloud values are provided as arrays. First all x-values, then all y-values, and so on. Specifically, the arrays are encoded as follows.

x-coordinates: 4 byte integer

y-coordinates: 4 byte integer

z-coordinates: 4 byte integer

intensity of reflected beams: 2 byte unsigned integer

ground classification flag: 1 byte unsigned integer

After reading, respective values have to be unnormalized. As an example, you can use the following code snipped to read the point cloud data. For visualization, you can use the pptk package, for instance.

import numpy as np import pptk

file_path = r"E:\3DHD_CityScenes\HD_PointCloud_Tiles\HH_001.bin" pc_dict = {} key_list = ['x', 'y', 'z', 'intensity', 'is_ground'] type_list = ['

This dataset provides information about the number of properties, residents, and average property values for Map Drive cross streets in New Franklin, OH.

This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or the officer issuing the violation will not be published.

Update Frequency: Daily

Soils of Dukes County per the USDA Natural Resource Conservation Service. Survey data from 2003 (version date 2018-01-25). Data compiled via Soil Data Viewer.

The Soil Data Viewer tool was used to generate the classification of Soil Type and Farmland Soil Classifications. The 3 letter codes utilized in earlier soil data reports has been joined to the Soil Type layer via the MUSYM field.The Martha's Vineyard Commission used these data to extract the Prime Agricultural Soils which are used in the MVC's DRI (Development of Regional Impact) Checklist v14 Map B-4.For more details about the Dukes County Soil Survey, visit the NRCS Web Soil Survey website. To learn the distinctions of of the 3 Farmland Soil Classifications, please read this info from the USDA. The 1986 publication of the Dukes County Soil Survey.NOTE: MassGIS does have more recent compilation of the NRCS soil data (downloaded June 2020; publ Nov. 2021). The MVC has not completed a comparison of these two datasets but anticipates the differences to be minimal. Also, given the use of the 2018 version in the MVC's DRI Checklist, for historic purposes, it is important to have this version available to the public.

Soils of Dukes County per the USDA Natural Resource Conservation Service. Survey data from 2003 (version date 2018-01-25). Data compiled via Soil Data Viewer.

The Soil Data Viewer tool was used to generate the classification of Soil Type and Farmland Soil Classifications. The 3 letter codes utilized in earlier soil data reports has been joined to the Soil Type layer via the MUSYM field.The Martha's Vineyard Commission used these data to extract the Prime Agricultural Soils which are used in the MVC's DRI (Development of Regional Impact) Checklist v14 Map B-4.For more details about the Dukes County Soil Survey, visit the NRCS Web Soil Survey website. To learn the distinctions of of the 3 Farmland Soil Classifications, please read this info from the USDA. The 1986 publication of the Dukes County Soil Survey.NOTE: MassGIS does have more recent compilation of the NRCS soil data (downloaded June 2020; publ Nov. 2021). The MVC has not completed a comparison of these two datasets but anticipates the differences to be minimal. Also, given the use of the 2018 version in the MVC's DRI Checklist, for historic purposes, it is important to have this version available to the public.

Keeping your Acura GPS navigation system updated is essential for ensuring a smooth and safe driving experience. Outdated maps can lead you to wrong turns, outdated routes, or even non-existent roads. The good news is that updating the Acura GPS map doesn't have to be complicated or time-consuming. In fact, you can complete the process in just minutes if you know the right steps and tools.

In this guide, we’ll walk you through how to update your Acura GPS navigation map quickly and efficiently without unnecessary stress. Whether you drive a TLX, MDX, RDX, or any other Acura model, this article will help you stay current with the latest map updates.

Why Updating Your Acura GPS Map Matters Accurate navigation is more than just convenience. When your GPS map is up to date, you benefit from:

Updated roadways, new highways, and construction changes

Improved route accuracy and estimated time of arrival

Updated points of interest like gas stations, restaurants, and landmarks

Enhanced safety with reliable turn-by-turn directions

An outdated system may cause you to rely on incorrect data, leading to delays or detours. Regular updates help ensure that you’re driving with the most accurate navigation information available.

Understanding Acura’s Navigation System Acura vehicles are equipped with factory-installed GPS navigation systems that rely on map data stored in either a hard drive or an SD card, depending on the model and year. These systems are designed to be updated periodically through software provided by Acura’s official navigation partners.

Most modern Acura vehicles use the Acura Navigation System powered by HERE or Garmin, which allows users to download the latest updates via a USB drive or directly through the infotainment system if supported.

Preparing for Your Acura GPS Map Update Before starting the update, ensure you have the following:

A reliable internet connection

A USB drive with sufficient storage (typically 16GB or more)

Access to a computer (Windows or Mac)

Vehicle VIN and navigation system information

These basics will help you get through the process smoothly. Make sure your USB drive is formatted properly, preferably in FAT32 or exFAT format, depending on the requirements of your Acura model.

Steps to Update Acura GPS Map in Minutes To Acura GPS Map Update, follow these quick and easy steps:

Start the Navigation System Begin by turning on your vehicle and accessing the GPS navigation system. Go to the settings or info section to find the option to update or export system data.

Insert USB Drive Insert your USB drive into the appropriate port. The system will read the USB and export your vehicle’s information to it. This process typically takes a few minutes and will allow the update software to recognize your system later.

Use Your Computer to Download the Update Remove the USB and insert it into your computer. Visit the official Acura navigation update portal, powered by HERE or Garmin depending on your model. Open the update tool, which will detect your system using the data stored on the USB drive.

Follow the on-screen prompts to download the latest GPS map update. Make sure not to interrupt the download, as it may take some time depending on your internet speed.

Transfer the Update to Your Vehicle Once the download is complete, safely eject the USB from your computer and plug it back into your Acura’s USB port. The system will detect the update and begin installing it automatically. This installation may take a few minutes, during which your vehicle should remain on and in park.

Avoid turning off your car or removing the USB drive until the process is complete. Once done, your GPS will be updated with the newest maps, routes, and points of interest.

Tips for a Smooth GPS Update Experience Updating your Acura GPS map is straightforward, but these extra tips can help make the process even easier:

Always use a high-quality USB drive to prevent data errors

Make sure your car’s battery is fully charged or the engine is running

Perform the update in a well-ventilated area if it takes longer

Keep your VIN and model year handy for reference

Check for updates every 6 to 12 months to ensure optimal navigation accuracy

Common Questions About Acura GPS Map Updates Do All Acura Models Support USB Updates? Most newer Acura models support USB-based GPS updates, but some older vehicles may require updates via DVD or at the dealership. Always consult your owner’s manual or the navigation update site for specifics.

Is the GPS Update Free? Some Acura models include free updates for a limited time after purchase, but typically, updates come with a small fee. Promotions or seasonal discounts may also be available depending on the provider.

Can I Use Wi-Fi for Map Updates? Select newer Acura models with built-in connectivity features may support over-the-air (OTA) updates via Wi-Fi. Check your infotainment system settings to see if this feature is available on your model.

Final Thoughts on Updating Acura GPS Maps With just a USB drive and a few simple steps, updating your Acura GPS map can be completed in minutes. Staying up to date not only enhances your navigation accuracy but also ensures a safer and more enjoyable driving experience. Make it a habit to check for map updates at least once or twice a year, especially if you travel frequently or live in an area with rapid road development.

"https://roku-tv-login.readthedocs.io/en/latest/">Roku TV Login Account
"https://gm-gps-map-update.readthedocs.io/en/latest/">GM GPS Map Update
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"https://navruf-gps-map-update.readthedocs.io/en/latest/">Navruf GPS Map Update
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"https://garminexprssupdate.readthedocs.io/en/latest/">Garmin Express Update
"https://magellangpsmapupdates.readthedocs.io/en/latest/">Magellan GPS Map Update

354 Global import shipment records of Dri Fruits with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

.

For Update Hyundai GPS Click On Link: 👉 "https://navisolve.com/">Hyundai GPS Map Update

Read More:-
"https://gpsmapupdats.readthedocs.io/en/latest/">GPS Map Update
"https://garmin-gps.readthedocs.io/en/latest/">Garmin GPS Map Update
"https://tomtom-gps.readthedocs.io/en/latest/">TomTom GPS Map Update
"https://rand-mcnally-gps-map-update.readthedocs.io/en/latest/">Rand Mcnally GPS Map Update
"https://hyundaigpsmapupdate.readthedocs.io/en/latest/">Hyundai GPS Map Update

This dataset provides information about the number of properties, residents, and average property values for Map Drive cross streets in Mankato, MN.

In a recent survey, 23 percent of U.S. drivers lose five to ten miles extra on a typical day due to faulty routes. When compounded, this sets back logistics companies by 611 million U.S. dollars every year.

Orlando Planning Land Use

HD Maps Market Outlook

The global HD maps market size was valued at USD 3.2 billion in 2023 and is expected to reach USD 10.5 billion by 2032, growing at a CAGR of 14.2% during the forecast period. One of the primary growth factors driving this market is the increasing adoption of autonomous vehicles and advanced driver assistance systems (ADAS), which rely heavily on accurate and high-resolution maps for navigation and safety.

The proliferation of autonomous vehicles is one of the most significant drivers of the HD maps market. Autonomous vehicles require highly detailed and precise maps to navigate safely and efficiently. These maps provide critical information about the road environment, including lane markings, road geometry, traffic signs, and obstacles. The integration of HD maps with real-time data from sensors and cameras enables autonomous vehicles to make informed decisions, thus enhancing their safety and reliability. As a result, the growing development and deployment of autonomous vehicles are expected to drive the demand for HD maps significantly.

Another key growth factor is the increasing implementation of advanced driver assistance systems (ADAS) in modern vehicles. ADAS technologies, such as lane-keeping assistance, adaptive cruise control, and automatic emergency braking, rely on HD maps to provide accurate and real-time information about the road environment. These technologies enhance driver safety and convenience by assisting in various driving tasks and reducing the risk of accidents. The rising consumer demand for safer and more advanced vehicles is propelling automotive manufacturers to integrate ADAS technologies, thereby boosting the demand for HD maps.

Moreover, the rise of smart city initiatives is expected to contribute to the growth of the HD maps market. Governments and municipalities worldwide are investing in smart city projects to improve urban infrastructure and enhance the quality of life for residents. HD maps play a crucial role in these projects by facilitating efficient transportation and traffic management. They provide real-time data on traffic conditions, road closures, and other critical information, enabling authorities to optimize traffic flow, reduce congestion, and enhance overall urban mobility. The growing focus on smart city development is anticipated to drive the demand for HD maps in the coming years.

From a regional perspective, North America is expected to dominate the HD maps market during the forecast period. The region is home to several leading technology companies and automotive manufacturers that are at the forefront of developing autonomous vehicles and ADAS technologies. Additionally, favorable government regulations and initiatives supporting the adoption of advanced transportation technologies are further fueling the market growth in North America. The Asia Pacific region is also projected to witness significant growth due to the increasing investments in smart city projects and the rising adoption of autonomous vehicles in countries like China and Japan.

Solution Analysis

The HD maps market is segmented by solutions into cloud-based and embedded systems. Cloud-based solutions are expected to hold a significant share of the market due to their scalability and ability to provide real-time updates. These solutions leverage cloud infrastructure to store and process vast amounts of mapping data, which can be accessed by autonomous vehicles and ADAS applications. The integration of cloud-based HD maps with real-time data from various sources ensures that the maps are always up-to-date, thus enhancing the reliability and accuracy of navigation systems.

Cloud-based HD maps facilitate seamless data sharing and collaboration among different stakeholders, including automotive manufacturers, map providers, and technology companies. This collaborative approach enables continuous improvement and refinement of mapping data, leading to more accurate and detailed maps. Moreover, the cloud infrastructure provides the computational power required to process and analyze large datasets, making it an ideal solution for HD maps. As the automotive industry continues to embrace connected and autonomous vehicles, the demand for cloud-based HD maps is expected to grow significantly.

On the other hand, embedded systems offer advantages in terms of latency and security. These systems store mapping data locally within the vehicle, reducing the dependence on continuous internet connectivity. This can be critical in scenarios where real-time decision-making is required, such as in autonom

This map, included in the "Experience Wildlife Drive" StoryMap, displays Edwin B. Forsythe refuge headquarters upon its acquisition into Brigantine National Wildlife Refuge in 1939. The historical map displays past land-use features and management practices like the original mosquito ditches built along the marshes of the refuge in the late 1800's and early 1900's. It also displays the names and features of natural creeks that flowed through the marshes adjacent to refuge headquarters, allowing the public to see how land use and management has changed over the decades. Many of these natural creeks and channels no longer exist due to the creation of the Wildlife Drive, and the East and West Pool impoundments for the promotion of waterfowl populations.

A collection of 4 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

SPM second-level maps of a food-cue reactivity task reported in the paper

These map layers present the number of National Green Building Standard points awarded for a project site or lot’s relative walkability, and accessibility to jobs via transit or within a 45-minute drive. This map presents information on the following criteria included in the 2020 National Green Building Standard: • Section 405.6(7) - Points for sites located in census block groups with above-average transit access to employment. (See variable D5b in Smart Location Database Technical Documentation and User Guide (2014) for background) • Section 405.6(8) - Points for sites located in census block groups with above-average access to employment within a 45-minute drive (See variable D5a in Smart Location Database Technical Documentation and User Guide (2014) for background on methods) • Section 501.2(4) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) • Section 11.501.2(3) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) Using data available through EPA’s Smart Location Database and National Walkability Index, relative walkability and accessibility to jobs via transit or within a 45-minute drive for census block groups were calculated and ranked into quartile groups. The regional comparison was made by considering the score of each individual census block group as a ratio of the average score of the county in which it is located. Those block groups with scores in the highest two quartiles nationally are eligible for NGBS points per the Sections noted above. Details on methodologies and datasets includes in the Smart Location Database and National Walkability Index can be found here: https://www.epa.gov/smartgrowth/smart-location-mapping#SLD

description: The USGS Woods Hole Science Center conducted a nearshore geophysical survey offshore of the southern coast of Martha's Vineyard, in the vicinity of the Martha's Vineyard Coastal Observatory (MVCO) in August 2007. This mapping program was part of a larger research effort supporting the Office of Naval Research (ONR) Ripples Directed-Research Initiative (DRI) studies at MVCO by providing data collection and modeling. The geophysical data will be used to provide initial conditions for wave and circulation models for the study area. Ultimately, geophysical mapping, oceanographic measurements and modeling will help to improve our understanding of coastal sediment-transport processes. The geophysical mapping utilized a suite of high-resolution instrumentation to map the surficial sediment distribution, depth and sub-surface geology: dual-frequency 100/500 KHz sidescan-sonar system, 234-KHz interferometric sonar, and 500 Hz -12 KHz chirp sub-bottom profiler. The survey was conducted aboard the M/V Megan Miller August 9-13, 2007. The study area covers 35 square kilometers from about 0.2 km to 5-km offshore of the south shore of Martha's Vineyard, and ranges in depth from ~ 5 to 20 meters.; abstract: The USGS Woods Hole Science Center conducted a nearshore geophysical survey offshore of the southern coast of Martha's Vineyard, in the vicinity of the Martha's Vineyard Coastal Observatory (MVCO) in August 2007. This mapping program was part of a larger research effort supporting the Office of Naval Research (ONR) Ripples Directed-Research Initiative (DRI) studies at MVCO by providing data collection and modeling. The geophysical data will be used to provide initial conditions for wave and circulation models for the study area. Ultimately, geophysical mapping, oceanographic measurements and modeling will help to improve our understanding of coastal sediment-transport processes. The geophysical mapping utilized a suite of high-resolution instrumentation to map the surficial sediment distribution, depth and sub-surface geology: dual-frequency 100/500 KHz sidescan-sonar system, 234-KHz interferometric sonar, and 500 Hz -12 KHz chirp sub-bottom profiler. The survey was conducted aboard the M/V Megan Miller August 9-13, 2007. The study area covers 35 square kilometers from about 0.2 km to 5-km offshore of the south shore of Martha's Vineyard, and ranges in depth from ~ 5 to 20 meters.

Broad summary of force mapping effectiveness for determining .