AWS for Industries
Tag: software defined vehicle
Continental is redefining embedded software development
The virtualization of electronic control units (ECUs) and the applications they support has become a cornerstone of innovation in the automotive industry. Continental is redefining embedded software development by taking the development and testing of ECU software and decoupling it from the constraints of physical hardware. Virtualization opens the door to parallelizing hardware and software […]
Software-defined Vehicles, GenAI, IoT – The Path to AI-Defined Vehicles
The convergence of Software-defined Vehicle (SDV), Generative Artificial Intelligence (GenAI), and the Internet of Things (IoT) can pave the way for AI-defined vehicles as the future of mobility. Imagine a car that doesn’t just drive itself – it evolves with every update. In the next decade, your vehicle could be smarter, safer, and more personalized […]
How BMW uses AWS to scale and automate SDV with virtual ECUs
“Our BMW Operating System 9 – BMW’s fully virtualized Android Open-Source Project-based infotainment system running on AWS – allows us for the very first time to start the development of new in-vehicle software functions without needing access to the target hardware. This shift-left in our software development process also enables us to test earlier and […]
Using generative AI to create test cases for software requirements
In today’s automotive industry, managing software system requirements is a significant challenge due to the growing complexity and critical nature of these systems. These requirements include functional requirements, such as autonomous driving, infotainment, and user interfaces, and nonfunctional requirements that establish the system’s operational criteria, such as performance, security, and reliability. A recent whitepaper states […]
How Schaeffler AG accelerates automotive software development by leveraging the AWS Virtual Engineering Workbench Framework
Introduction This blog post will detail how adopting Virtual Engineering Workbench (VEW) has supported Schaeffler AG, an automotive supplier, within their software development for pre-series development projects. It will also explain the use cases implemented by AWS and Schaeffler, and present one of the many technical examples. This includes how Schaeffler was able to adopt […]
Revolutionizing automotive software development with Intel and AWS
The move to software-defined vehicles (SDV) opens the door to shorten OEM vehicle design cycles by at least 6 months, enabling innovation for new tools and processes for automotive software development. To help stay competitive on a global scale, OEMs are adopting cloud-based development environments and cloud-native software design, supporting software portability across a growing […]
Accelerate data access for your AV/ADAS applications using Mountpoint for HAQM S3
In the realm of autonomous vehicles and advanced driver assistance systems (AV/ADAS), automotive original equipment manufacturers (OEMs), Tier 1 suppliers, and independent software vendors (ISVs) all process vast amounts of data recorded by test vehicles in the field. That recorded data can reach up to 300 TB per vehicle per day. When the recorded data is […]
AWS re:Invent 2024 recap for the Automotive Industry
AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.
Adoption of Software-Defined Architecture in the Commercial Vehicle Industry
As the world becomes increasingly more digital and connected, trucks, buses, vans, and specialized vehicles are evolving into sophisticated software-defined machines. This change has shifted priorities to reshape fleet operations, enhance driver experiences, and redefine the nature of commercial mobility. Compared to the passenger car industry, commercial vehicle Original Equipment Manufacturers (OEMs) need to deal […]
Paving the fast lane to race car optimization with insights from Sibros Deep Logger and HAQM SageMaker
Auto-racing teams continue to push the boundaries of track day performances for both vehicles and drivers. The combination of cross-functional teams involved in driver success goes beyond what is shown during the race event and extends to deep collaborations with automakers. Automakers are engaged in constant feedback loops to optimize the performance of their cars […]