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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

A combination of sensors, including LiDAR, cameras, and radar, gather data from the vehicle's surroundings. By employing sensor fusion technology, perception algorithms are capable of identifying, locating, measuring the speed, and determining the orientation of various objects on the road in real time. This advanced autonomous perception system is supported by Baidu's extensive big data infrastructure and deep learning capabilities, along with a rich repository of labeled real-world driving data. The robust deep-learning platform, complemented by GPU clusters, enhances processing power. Additionally, the simulation environment enables virtual driving across millions of kilometers each day, leveraging diverse real-world traffic and autonomous driving data. Through this simulation service, partners can access an extensive array of autonomous driving scenarios, allowing for rapid testing, validation, and optimization of models in a manner that prioritizes both safety and efficiency, ultimately fostering advancements in autonomous vehicle technology.

Description

FugroViewer is a powerful and user-friendly freeware that enables users to effectively utilize their geospatial data. It has been specifically developed to accommodate a variety of raster and vector geospatial datasets, including those derived from photogrammetry, lidar, and IFSAR technologies. The latest version, FugroViewer 3.5, is now available for download, featuring the capability to process files that are up to six times larger than previous versions. Enhanced graphics performance has been integrated to reduce rendering times and boost overall efficiency. Furthermore, FugroViewer supports the newest open file formats for the storage and delivery of lidar data. Users can visualize elevation and terrain model data through standard ortho, 3D perspective, and cross-section views, while also being able to display GPS time and RGB values when accessible. The software allows for the coloring of TINs based on elevation using a gradient from blue to red, as well as by intensity values. Additionally, it facilitates the overlay of imagery and vector data onto 3D elevation and terrain datasets, enabling comprehensive analysis. Users can also inspect lidar point clouds by various criteria such as classification, flight line, return number, or source ID, enhancing their analytical capabilities even further. This makes FugroViewer an invaluable tool for anyone working with complex geospatial data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Dragon Metrics

Integrations

Dragon Metrics

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Baidu

Founded

2000

Country

China

Website

apollo.auto/

Vendor Details

Company Name

Fugro

Founded

1962

Country

Netherlands

Website

www.fugro.com/expertise/other-expertise/fugroviewer

Product Features

Product Features

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