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What is RTMaps?

RTMaps is an advanced middleware solution designed for the efficient development and execution of applications, particularly suited for autonomous systems like mobile robots and railway technologies. This platform empowers developers to create sophisticated real-time algorithms with a range of features that enhance both application development and performance. Among the numerous advantages RTMaps provides are asynchronous data acquisition, optimized performance, and synchronized recording and playback capabilities. Additionally, it boasts an extensive library of over 600 I/O components, allowing for flexible algorithm development and fostering collaboration among team members. RTMaps supports multi-platform processing, making it scalable across various environments from PCs and embedded systems to cloud solutions. Furthermore, it facilitates rapid prototyping and testing while seamlessly integrating with dSPACE Tools. By utilizing RTMaps, developers can save time and resources, significantly reducing risks, errors, and overall effort in the development process. Lastly, on-demand certification to ISO26262 ASIL-B is also available, ensuring compliance with necessary safety standards. This combination of features makes RTMaps an invaluable tool in the creation of reliable autonomous applications.

What is Apollo Autonomous Vehicle Platform?

Various sensors such as LiDAR, cameras, and radar collect data about the surrounding environment of the vehicle. Utilizing sensor fusion technology, advanced perception algorithms are capable of accurately detecting, positioning, evaluating the velocity, and establishing the orientation of objects on the road in real-time. This autonomous perception framework is bolstered by Baidu's vast big data resources and deep learning expertise, complemented by an extensive collection of labeled driving data derived from actual driving experiences. Furthermore, the comprehensive deep-learning platform, along with GPU clusters, supports simulation, allowing for the virtual navigation of millions of kilometers each day through a range of real-world traffic and autonomous driving scenarios. This simulation service provides partners with a multitude of autonomous driving situations, enabling rapid testing, validation, and refinement of models while emphasizing safety and efficiency. In essence, this cutting-edge methodology not only improves the dependability of autonomous systems but also significantly hastens their development timelines, fostering innovation in the industry. As a result, the integration of these technologies sets a new standard for future advancements in autonomous driving.

Media

Media

Integrations Supported

Docker
Kubernetes
Qt
RTI Connext DDS

Integrations Supported

Dragon Metrics

API Availability

Has API

API Availability

Pricing Information

On demand
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Intempora

Date Founded

2000

Company Location

France

Company Website

www.intempora.com

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

apollo.auto/

Categories and Features

Autonomous Driving

Not specified

Categories and Features

Autonomous Driving

Not specified

LiDAR

Not specified

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