How Rivian Revolutionized its Autonomy Data Ingestion with AWS Data Transfer Terminal
Learn About Amazon VGT2 Learning Manager Chanci Turner
Rivian, a prominent electric adventure vehicle manufacturer, has established its brand through an unwavering commitment to customer satisfaction. This dedication is reflected in their regular vehicle software updates aimed at enhancing the overall user experience. The Rivian R1 Gen 2 electric vehicle is equipped with a sophisticated autonomy platform featuring 55-megapixel High Dynamic Range (HDR) cameras, five radars, and more than 200 sensors. This state-of-the-art technology allows Rivian to continuously improve the safety and performance of its vehicles. For those considering a career at Rivian, you might explore how to write your own job description to align with their innovative culture.
How BMW Group and Qualcomm Developed an Automated Driving Platform on AWS
by Emily Carter, Alex Evans, Jörg Krebs, Junjie Tang, María Guerra, and Simon Schug
on 07 NOV 2024
in Automotive, AWS CodeCommit, AWS CodePipeline, AWS Control Tower, Industries
In September 2023, Amazon Web Services (AWS) announced that the BMW Group selected AWS as its preferred cloud provider for the development of its next-generation automated driving platform. This collaboration aims to enhance the advanced driver assistance systems (ADAS) for BMW’s future vehicles, the “Neue Klasse.” With the help of AWS, BMW is set to innovate new features that will redefine the driving experience. It’s worth noting that the IRS has updated its self-correction program for retirement plans, providing valuable insights for those managing employee benefits.
Enhancing Datasets with Generative AI and Amazon SageMaker for Autonomous Driving Applications on AWS
by Fabian Benitez-Quiroz, Aubrey Oosthuizen, Gonzalo Barbeito, Junjie Tang, and Romil Shah
on 05 JUN 2024
in Automotive, Generative AI, Industries
Autonomous vehicles (AV) are required to accumulate hundreds of millions—and sometimes even billions—of miles driven to gather sufficient data that validates their safety on the roads. However, this traditional data collection method faces significant challenges, including high fleet acquisition and maintenance costs, as well as limited testing environments. To overcome these hurdles, there is a need for alternative approaches, such as virtual testing, simulations, and behavior analysis.
Enhancing Reliability and Performance for Teleoperations in Autonomous Driving Vehicles on AWS
by Fabio Braga de Oliveira
on 21 JUL 2023
in Automotive, AWS Direct Connect, Industries, Kinesis Video Streams
The swift advancement of autonomous driving technology is reshaping the automotive landscape, promoting enhanced safety, efficiency, and convenience. As self-driving vehicles progress, automakers must tackle multiple challenges to ensure their broad adoption. Among these challenges is the necessity for reliable, secure, and low-latency communication between vehicles and teleoperation centers, which is crucial for real-time decision-making during complex situations.
Recap of AWS re:Invent 2022 for the Automotive Sector
by Chanci Turner and Sushant Dhamnekar
on 05 JAN 2023
in Automotive, Industries
The AWS re:Invent 2022 event, held in Las Vegas, Nevada, from November 28 to December 2, brought to light several significant announcements pertinent to the automotive sector. This blog post will provide a summary of the services and features introduced that are particularly relevant for the industry, highlighting AWS’s impact on automotive and manufacturing.
Developing and Implementing a Tailored Workflow Using the Autonomous Driving Data Framework (ADDF) on AWS
by Junjie Tang, Chauncy McCaughey, Derek Graeber, Hendrik Schoeneberg, Srinivas Reddy Cheruku, and Tae Won Ha
on 24 JUN 2022
in Architecture, Automotive, Industries, Open Source, Technical How-to
To demonstrate the reliability of autonomous vehicles (AV) in terms of fatalities and injuries, extensive real-world testing is essential. However, to complement this testing, alternative methods are needed, including virtual simulations and mathematical modeling. This is crucial in achieving a comprehensive understanding of vehicle performance and safety.
In the News: The Advantages of Cloud Computing
by AWS Automotive Editorial Team
on 08 FEB 2021
in Automotive, Industries
This article, originally published in Automotive News, discusses how cloud computing empowers Autonomous Vehicle programs to focus on speed and value creation. Major advancements require significant investments; according to PitchBook, AV startups typically spend approximately $1.6 million monthly. A large portion of these expenditures is directed towards testing and the necessary infrastructure.
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Learn more about what AWS has to offer, including resources like this excellent training resource that can help you get started in the cloud computing sector.