Collection of Asset inventory data of traffic areas and management of this data in GIS systems plays an important role in drawing up municipal balance sheets. There is a growing demand to identify and create inventories of road assets, add attribute information and analyse different types of conditions.

Long Experience to identify and create road asset inventory data in GIS.

Digital acquisition of inventory assets and road surface types from variety of data acquired through mobile mapping, drones and aerial mapping.

We specialize in the high-precision acquisition of road elements, attributes and develop complete GIS datasets for road infrastructure-inventories from raw image and point cloud data. We have highly skilled operators to process variety of data acquired through  airborne and mobile mapping.

We identify the condition types based on given definition of damages and repairs. These definitions are part of larger specifications which also describes various types of road materials and data standards to be followed. Road condition data in combination with the inventory data of the traffic route network bring enormous advantages. They help with resource management, financial planning or maintaining jurisdictions and road safety.

Processing of large amount of image and point cloud data acquired through mobile or aerial mapping for road and associated infrastructure.  We get precise set of requirements from our clients to capture specified objects by following certain rules.

We are asked to identify different types of areas/objects present on road and sidewalks, digitize them while taking care of various rules and following administrative boundaries. Additionally we are asked to assign the attributes.

In addition, we are asked to prepare precise road condition data based on given definition of conditions(e.g. potholes, cracks, bumps, etc.). We are sometimes asked to use AI based tools developed by client or use third party tools to prepare condition data.

We are asked to create accurate asset inventories by using variety of image interpretation techniques and third-party tools. We are asked to go through country specific signage, digitization guides, symbology etc.

The requirements of some assignments include the creation of 2D/3D digital infrastructure data, where input geospatial data sets from various mapping techniques (aerial and terrestrial) are integrated to create up-to-date, complete, accurate, and consistent infrastructure/road data.

Some special requirements only include certain tasks that need to be done, e.g. bike lane condition recording that needs to be digitized in a short time or update of data using photogrammetry technology?

 

In some cases, do we also process data on pipe networks, drainage channels, traffic signs, inspection shafts or waste containers as part of the area of interest?

Since road infrastructure is closely related to energy supply infrastructure, we sometimes receive infrastructure data development projects related to civil engineering.

The requirements list and our offering is not limited to the above mentioned tasks, rather it is growing with growing range of 2D and 3D mapping technologies and how contents are generated. Today, with improvement in precision, a wide variety of objects and assets are to be identified, vectorized and attributed which belong to the road space. 

Another focus is to make these captured objects position-accurate in 2D and 3D which requires careful handling of datasets. We often receive requests to post-process the data from mobile vans with a variety of images, LiDAR point clouds or aerial photos with camera data which is not position accurate.

Digital acquisition and updating of road-related data (lane, pedestrian zone, parking, green spaces, cycle lane, driveways…) and creation of asset inventories for other road iobjects in street space e.g. traffic signs, light poles, drain, trees, shafts or gas and water valves, etc.

Documentation of the road condition data (cracks, potholes, bumps, etc.) based on the definitions and their occurrence depending on the type of road. Recording of damage and special features like road markings, curbs, conditions according to their descriptions.

Three-dimensional stereoscopic evaluation of aerial photos for various objects present in the streets and highways. We are able to identify, demarcate various built-up objects present in the given AOI in 2D and 3D.

High-precision location accurate, geometrically correct documentation of variety of areas and objects and assigning appropriate attributes. Our team specializes in capturing of sealed areas present in  public and private spaces.

Digital evaluation of high-resolution and geo-referenced inspection images as image sequences in the given system with special rules applied for different types of point, line and area objects and symbols.

Creation and update of municipal road maps by following regional and national standards by utilizing variety of input data.  Use of survey data combination with other types of datasets (official road data, GIS data or existing mapping survey data) to crate and update road data.

Using custom AI tools along with manual identification techniques to create the most up-to-date, accurate and complete data outputs related to roads conditions make differentiation with material used.

Whether mobile mapping (point-cloud data, image data ) assisted by drone, static scanning or aerial mapping (photo flight data, stereoscopic data) , we are able to use different evaluation technologies independently or in combination to present desired output.

The requirements for digital data for roads and infrastructure range from the simple vectorization of a wide variety of objects to the position-accurate 2D and 3D acquisition of a wide variety of objects in this infrastructure. We often receive requests to post-process the data from mobile vans with a variety of images, LiDAR point clouds or aerial photos with camera data.

We develop an appropriate strategy to post-process this data based on given specifications. We quickly meet the requirements, develop the necessary documentation and workflows, provide guidance to our offshore staff and deliver the output data according to the agreed timelines.

Our road infrastructure team has a thorough understanding of the  asset inventories, area types ( paved and unpaved ) and can differentiate between public and private areas, city and town boundaries, route sections and many occasional features.

Our knowledge of different types of road typologies, classification of infrastructure, camera systems, data formats, understanding of technical drawings and technical terms used for traffic engineering help us to set up data processing projects quickly.

Our knowledge of different types of road typologies, classification of infrastructure, camera systems, data formats, understanding of technical drawings and technical terms used for traffic engineering help us to set up data processing projects quickly.

We quickly train our team for any custom made tool which is given by clients. Our experience in three-dimensional stereoscopic evaluation makes us unique in handling data from aerial mapping techniques.

We have many years of experience in understanding various road markings and traffic signs present.  Our team is very adept at combining inputs from LIDAR, photogrammetry and image processing (to capture vegetation, pedestrian areas, roads with scenery, etc.)

Our flexibility to work with various AI tools and delivering an error free data after checking it manually makes us unique. We develop workflows which optimize the time, and give us transparent cost estimation.

Very good knowledge of the basic elements of the node-edge model, regional and national standards, civil engineering construction, public and private spaces makes us unique to digitize road infrastructure.

We understand the properties of the road elements, traffic use area, map section, roundabout, connection points, traffic direction, etc. We have also developed  in-depth understanding of resident parking areas, pedestrian zones, streets with bus lanes, type of repair, cycle route, etc.

Together with the client, we develop a suitable strategy for post-processing of LIDAR, image or photogrammetric data based on given specifications. We quickly meet the requirements, develop the necessary documentation and workflows, provide guidance to our offshore staff and deliver the output data according to the agreed timelines.

Erstellung weitere Spezialprodukte:

  • Digitale Datenerfassung von Anlagen-Innenleben, Übersichtspläne verschiedener Maßstäbe, Leitungstrassenpläne, Schachtskizzen, Feuerwehrpläne (Hydranten, Zufahrten, Aufstellflächen), Aufstellungspläne und Spleißpläne
  • Bei Bedarf organisieren wir ein Projektorientierungstraining in Deutschland
  • Homogenisierungsprozess nach projektspezifischer Qualitätssicherung (Anpassung Netztopologien, Bemassungen und Grundkarten usw.)

If you are capturing data through mobile and aerial mapping technologies and have similar needs to generate asset inventories, digitize and validate road and infrastructure data, we look forward to assisting you with our services.

We take on the tasks of creating, updating and maintaining your road and infrastructure data with our highly specialized road data team. We quickly develop our necessary documentation and test workflows, quality procedures, provide guidance to our teams, and deliver the output data according to the agreed timelines.