AWS for Industries

Tag: automotive

Figure 1 Technical Architecture Overview

A Cloud-Native Environment for Distributed Automotive Software Development

Car drivers have become users that expect new and updatable features and a digital user experience in addition to driving comfort and safety. OEMs are thus committed to lay the foundations for faster innovation through a concept called Software-Defined Vehicle (SDV). This blog post demonstrates an example of how ETAS and AWS collaborate on cloud-native […]

Simulating Automotive E/E Architectures in AWS Part 2: Solution in Action

This is the second blog post in our 2-part series that provides guidance on how to simulate automotive Electrical/Electronic (E/E) architectures in AWS. In part 1, we discussed the trends in automotive E/E architectures and the general concepts and challenges facing automakers around simulation of Electronic Control Unit (ECU) software utilizing the cloud. In this […]

Simulating Automotive E/E Architectures in AWS – Part 1: Accelerating the V-Model

Over the last 15 years, the complexity of automotive Electrical/Electronic (E/E) architectures which include Electronic Control Units (ECUs), related sensors, actuators, and wiring inside vehicles has grown. Rather than continuing to add new hardware components to E/E architectures, automakers are shifting towards consolidating smaller, fixed-function ECUs into a larger High Performance Computer (HPC) while retaining […]

Figure 1 Solution Overview for data processing and data management

Scaling Automated Driving data processing and data management with BMW Group on AWS

Autonomous driving (AD) and highly automated driving are key technologies in the automotive industry. Fully realized, they have the potential to fundamentally transform the automotive and mobility industries through improved comfort and safety and new business models for automobile manufacturers. The BMW Group is one of the leading OEMs in the automotive industry. This year, […]

Figure 2 A virtualized HPC on AWS, enabled by vECU Creator

Develop and test automotive software at scale using AWS

The traditional hardware-centric approach of developing and testing automotive software using Hardware-in-the-loop (HiL), is slow and limited in scale. The physical Electronic Control Units (ECUs) are not readily available during the software development phase, thus limiting the development team’s ability to scale. Consumer demand and expectations highlight the need for vehicles to be more connected, […]

Figure 1 WirelessCar EV product and data aggregation overview

Smart EV Routing for optimized EV travel by WirelessCar on AWS

WirelessCar has over twenty years of experience in developing, delivering, and operating secure digital solutions and products for connected cars. WirelessCar offers Smart EV Routing which is a SaaS API product designed for any automaker who wants to offer their electric vehicle (EV) customers a state-of-the-art route planner. Accurate and reliable EV route planning addresses […]

Figure one Blackberry QNX_Architecture overview

BlackBerry QNX on AWS workshop is released! – Get started with QNX OS deployment and development on AWS in two hours.

We are pleased to announce the release of the BlackBerry QNX on AWS workshop to help AWS customers easily get started with embedded software development on AWS Cloud. This workshop provides a hands-on lab experience to help AWS customers quickly grasp embedded software development with QNX® OS on AWS. In January 2023, BlackBerry Limited announced […]

Figure 1 Road affected by heavy snow

Improving Reliability and Performance for Teleoperations for Autonomous Driving Vehicles on AWS

The rapid advancement of autonomous driving technology is transforming the automotive industry, leading to improved safety, efficiency, and convenience. As self-driving vehicles evolve, automakers must address several challenges to ensure their widespread adoption. Among these challenges, reliable, secure, and low-latency communication between vehicles and teleoperation centers is critical for real-time responsiveness and decision-making in complex […]

Existing Warranty Claim Analysis Process_Figure 2

How Machine Learning on AWS can help customers predict the risk of Automotive Part Recalls

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]

BMW Group uses AWS ML solutions to drive personalized customer experiences

To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]