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What is OpenRoads ConceptStation?

Boost the efficiency of your projects by quickly creating conceptual designs and improving the decision-making process. OpenRoads ConceptStation offers powerful tools for roadway and bridge design, enabling land and road development engineers to build intelligent models that fit their specific contexts. By leveraging actual data and performing cost analyses, you can investigate various conceptual design options that can enhance project outcomes significantly. The integration of data collection, reality modeling, and conceptual design facilitates the early detection of potentially expensive and risky components during the initial planning stages of infrastructure projects. Rapidly collect contextual data from a variety of sources, such as point clouds, 3D reality meshes, terrain data, images, and geospatial information, ensuring that your designs accurately depict real-world conditions. The platform streamlines the process of 3D modeling with user-friendly engineering sketching tools, enabling quick visualization of road and bridge projects. This holistic method not only promotes innovation but also guarantees that possible obstacles are confronted early on in the design phase, ultimately leading to more successful project execution. Overall, adopting this approach can significantly transform how infrastructure projects are conceived and developed.

What is ContextCapture?

Convert basic photographs and point cloud data into complex 3D models. The reality modeling technique entails capturing the physical characteristics of an infrastructure asset, creating an intricate representation, and maintaining it through regular surveys. Bentley's ContextCapture stands out as an advanced reality modeling tool that delivers a detailed digital depiction of the real world by generating a 3D reality mesh. This mesh is constructed from a multitude of triangles and image data, resulting in a comprehensive model that accurately reflects existing conditions. Every component within this digital structure can be automatically recognized and spatially linked, facilitating an immersive and user-friendly experience for navigating, locating, visualizing, and retrieving asset information. Reality meshes have diverse applications across multiple engineering, maintenance, and GIS workflows, providing crucial real-world context to guide decisions related to design, construction, and operational activities. The technology often employs overlapping aerial images collected by drones, supplemented by ground-level photos and, if required, enhanced with laser scans to ensure precision. Consequently, the combination of these techniques guarantees a meticulous and dependable digital representation of the surrounding physical space, which can significantly enhance project outcomes and decision-making processes. This integration of various data sources elevates the effectiveness of reality modeling in numerous fields.

Media

Media

Integrations Supported

Integrations Supported

MicroStation
Prevu3D
Skydio 3D Scan
SuperMap GIS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/product-line/civil-design-software/openroads-conceptstation

Company Facts

Organization Name

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/brands/contextcapture

Categories and Features

Civil Engineering

Not specified

Categories and Features

3D Modeling

Not specified

3D Scanning

Not specified

Drone Mapping

Not specified

Land Survey

Not specified

Photogrammetry

Not specified

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