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Description
Engineered using top-tier hardware and innovative software, the Aurora Driver is crafted to be versatile across different vehicle categories and applications, thereby enabling the advantages of autonomous driving in various sectors, such as freight transportation, local delivery services, and passenger transport. This advanced system incorporates sensors that gather environmental data, software that devises a secure route, and a computer that integrates these components with the vehicle itself. Capable of handling any vehicle, from compact cars to heavy-duty trucks, the Aurora Driver is equipped with the Aurora Computer, which acts as the core interface connecting our hardware with the autonomy software, facilitating smooth integration with diverse vehicle types. Our tailor-made sensor suite, which includes FirstLight Lidar, advanced long-range radars, and high-definition cameras, collaborates effectively to create a three-dimensional view of the surroundings, providing the Aurora Driver with a comprehensive 360˚ awareness of its environment in real time. This sophisticated technology ensures that the Aurora Driver can adapt to varying driving conditions, enhancing safety and efficiency across all its applications.
Description
NVIDIA Alpamayo 2 Super stands as a pioneering open model tailored for robotaxis and autonomous vehicles, designed to navigate rare and intricate driving scenarios while generating decisions that developers can analyze, verify, and rely upon. Utilizing the foundations of NVIDIA Cosmos 3 Super Reasoner and enhanced through reinforcement learning, it merges commercial accessibility with the ability to handle multiple tasks related to autonomous driving. The model comprehensively analyzes full-surround camera input, integrating perspectives from the front, sides, and rear to adeptly manage lane changes, merges, unprotected turns, and complex intersections. In addressing each driving scenario, it can produce a planned trajectory for the vehicle, a chain-of-causation that elucidates the decision-making process, a meta-action such as yielding or stopping, and reasoning auto-labels for both training and validation purposes, along with visual question-answering outputs anchored in specific image regions. These interconnected outputs facilitate the correlation between the model's observations and the actions it undertakes, thereby enhancing transparency in autonomous decision-making. Additionally, this functionality supports developers in refining and optimizing the model's performance in real-world applications.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aurora
Founded
2017
Country
United States
Website
aurora.tech/aurora-driver
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
nvidia.com
