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What is Applanix POSPac?

Applanix POSPac is at the pinnacle of software technology for the direct georeferencing of mobile mapping sensors that leverage GNSS and inertial systems. This robust software is designed for versatility, accommodating a variety of platforms and environments such as aerial, terrestrial, and maritime applications, while also supporting an extensive array of mapping devices. By providing optimal accuracy and efficiency in direct georeferencing, Applanix POSPac has established itself as a leading solution in the industry. Consider enhancing your license by incorporating Applanix POSPac PP-RTX today. When it comes to creating spatial intelligence through mobile mapping, as well as facilitating navigation, guidance, and control for Autonomous Vehicles (AVs) or in tracking fleets and assets, the advanced Applanix IN-Fusion+ technology ensures precise and continuous spatial measurements. In addition to this, our newly released white paper explores various data collection methodologies, discussing their advantages and drawbacks, and illustrating how Applanix’s groundbreaking technology achieves exceptional outcomes across all sensor categories. By adopting these cutting-edge advancements, users can greatly improve the quality and dependability of their spatial data collection efforts, ultimately leading to more effective project outcomes. Embracing these innovations not only enhances data reliability but also drives efficiency in operational processes.

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

Integrations Supported

Dragon Metrics

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Trimble Applanix

Company Location

United States

Company Website

www.applanix.com/products/pospac-mms.htm

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

apollo.auto/

Categories and Features

Categories and Features

Autonomous Driving

Not specified

LiDAR

Not specified

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