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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

The objective remains unchanged: to derive meaningful data from images and point cloud sources like LiDAR and DSM, translating them into vectors and attributes applicable across multiple fields. VrThree (VrLiDAR) empowers photogrammetry companies to leverage their existing workforce and software, while also introducing innovative and robust solutions for various mapping sectors, including architecture, engineering, and surveying. This software seamlessly integrates point cloud data into the well-established Vr Mapping Software suites, VrOne® and VrTwo, facilitating the visualization and modification of LiDAR point data in both 2D and authentic three-dimensional stereo formats. The four available configurations within VrThree allow for the collection and editing of vector, symbol, and text entities using the comprehensive tools provided by VrOne® and VrTwo. Today's mapping experts are required to gather three-dimensional vector data not only from conventional photogrammetric methods but also from advanced technologies like LiDAR, expanding their capabilities. The evolution of mapping technology continues to challenge professionals to adapt and enhance their skill sets to meet the demands of modern projects.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Dragon Metrics Yes 

Integrations

Dragon Metrics No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$2500.00/one-time/user
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Baidu

Founded

2000

Country

China

Website

apollo.auto/

Vendor Details

Company Name

Cardinal Systems

Website

www.cardinalsystems1.net/vrlidar

Product Features

Product Features

CAD

2 1/2-Axis Milling No 
2D Drawing Yes 
3-Axis Milling No 
3D Modeling Yes 
4-Axis Milling No 
5-Axis Milling No 
Civil Yes 
Collaboration Yes 
Database Connectivity No 
Design Analysis Yes 
Design Export Yes 
Document Management Yes 
Electrical Yes 
Hole Making No 
Mechanical Yes 
Mechatronics Yes 
Presentation Tools Yes 
Simulate Cycles No 
Spiral Output No 
Structural Engineering No 
Toolpath Simulation No 
User Defined Cycles No 

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