Overview
Our platform offers behaviorally models of ADAS Electronic Control Unit (vECU) and Valeo's industry-leading ultrasonic sensors. By moving your development and validation to the cloud, your teams can ""shift-left,"" identifying software defects months ahead of hardware availability and accelerating your entire project timeline.
Key Features & Benefits:
The Virtual Models: Deploy Valeo's validated vECU and sensor models to create a virtual environment for robust software testing. Scalability on AWS: Leverage the power of the AWS cloud to run thousands of simulation and validation tests in parallel, achieving a scale impossible with physical test benches. Accelerate Development Cycles: Provide your software developers with immediate access to a virtual lab, enabling them to build and iterate without waiting for physical prototypes. Significant Cost Reduction: Eliminate the high costs associated with purchasing, maintaining, and managing physical ECUs, test benches, and lab infrastructure. Move to a flexible, pay-as-you-go model. Seamless CI/CD & DevOps Integration: Integrate the virtual lab directly into your automated toolchain to enable continuous integration, testing, and deployment for your automotive software projects. Global Accessibility: Empower your distributed engineering teams to collaborate effectively by providing on-demand access to a consistent development environment from anywhere in the world.
Ideal Use Cases: ECU software development and debugging ADAS feature development and validation Sensor fusion algorithm testing and refinement Large-scale regression testing within a CI/CD pipeline Software-in-the-Loop (SiL) simulation environments
Get started with Valeo's Virtualized HW Lab on AWS Marketplace today and transform your automotive software development process from hardware-dependent to software-defined.
Highlights
- Speed up software development by up to 40% using virtual ECUs for immediate testing
- Lower R&D hardware expenses by 30% by eliminating the need for physical ECUs and sensors
- Identify and resolve issues earlier in the development cycle for more reliable software
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Financing for AWS Marketplace purchases
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Vendor refund policy
All Subscription Fees are non-refundable, except as may be explicitly provided in the Agreement or as required by law. As per AWS Marketplace policy, customers may request a cancellation and refund through AWS Support within 48 hours of the initial purchase. Any such requests are subject to AWS's approval. Please contact us at vecu-support@valeo.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial version Built on x86 architecture, this environment integrates the Esmini simulation tool with a behavioral ADAS ARM virtual ECU (vECU) and Ultrasonic sensor model
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