Category: Automotive

In the robotics industry, Reinforcement Learning (RL) is extensively utilized to address complex problems that traditional path planning algorithms cannot manage, especially those involving intricate manipulations. The reward function in RL is a critical component that establishes the objective and directs the agent’s learning process. Crafting an effective reward function is often challenging but essential […]

As automakers strive to enhance the in-cabin user experience, automotive development teams are tasked with delivering more features and integrations than ever before while balancing trade-offs between complexity and maintenance. Supercharging development for an automotive e-cockpit on Amazon Web Services (AWS) helps development teams to accelerate software output while achieving bit parity. With the advent […]

AWS for Automotive offers Software-Defined Vehicle (SDV) solutions, helping to address the needs of the automotive industry to handle increasing software complexity, improve cost control, and enhance product quality. AWS is innovating on SDV solutions that include the ability to deploy virtualized automotive hardware and software stacks on AWS. This includes building and deploying Google’s […]

Introduction Software is redefining the automotive experience. It is through software that Advanced Driver Assistance Systems (ADAS) can help improve vehicle safety. It is through software that In-Vehicle Infotainment (IVI) systems can deliver audio and video infotainment. And it is through software that automotive manufacturers can offer more reliable predictive maintenance to large fleets. Because […]

The automotive industry possesses one of the most complex value chains, with tens of thousands of companies involved in making a car. Original equipment manufacturers (OEMs) typically lack visibility into their supply chain beyond Tier 2 suppliers and they are often unaware of their products’ journey after they are delivered to third parties, including downstream […]

“Using AWS FIS has been a transformative journey for BMW Group, and we are committed to scaling chaos engineering across our organization to ensure the highest levels of reliability and resilience for our digital services.” – Dr. Céline Laurent-Winter, BMW Group Vice President Connected Vehicle Platforms Introduction Ensuring resilience and reliability in mission-critical software systems […]

Challenges in modernization The journey to modernize legacy monolith applications is complex and often spans years in which organizations face several obstacles before achieving success. A key challenge is verifying that the business processes impacted by the change continue to run seamlessly during and after the transition. Organizations must decide between a large big-bang cutover […]

The development of modern vehicles requires extensive collaboration between automotive original equipment manufacturers (OEMs) and their multi-tiered supplier network. During the integration phase, an OEM and its supplier tiers verify that all components fit with one another and satisfy the OEM’s requirements. This phase is mostly performed towards the end of the vehicle development lifecycle […]

Swift Navigation is a leader in precise positioning technologies for automotive, IoT, and mobile applications. Swift’s Skylark Precise Positioning Service is a cloud-based Global Navigation Satellite Systems (GNSS) corrections service designed to improve positioning accuracy to as little as two centimeters. Skylark is built to meet the highest standards of quality, safety, and integrity for […]

Autonomous vehicles (AV) must be driven hundreds of millions of miles – and sometimes hundreds of billions of miles – to capture sufficient data that can confidently demonstrate a vehicle’s security on the road. This approach to collecting data, however, sees its applicability hindered by two main limitations: (1) high fleet acquisition and maintenance costs […]