LTTSiDriVe™
Semicon-Agnostic SDV Platform
Instead of relying on legacy hardwiring pathways, software-defined mobility enables control, management, and updates of most vehicle functionalities via software systems. This approach boosts flexibility, adaptability, and innovation across vehicle design and operations.
LTTSiDriVe™, LTTS’ semicon-agnostic SDV platform, removes hardware dependencies by providing pre-loaded integrated development environments (IDEs), build-essential toolchains, and emulators, eliminating manual configurations.
For Quality Assurance (QA), LTTSiDriVe™ employs a shift-left methodology, offering a test automation setup with interconnected Virtual Nodes (VNs) pre-configured with virtualization libraries, simulators, and agents. These run test scenarios for efficient, comprehensive testing throughout development.
The GenAI-enabled framework automates scenario and system model generation from requirements, producing artifacts like pre-conditions, test procedures, and outcomes. Its AI-driven chatbot enables custom refinements and builds a knowledge base from past outputs, ensuring better accuracy, reduced manual effort, and continuous improvement over time.
LTTSiDriVe
Solution Features
Holistic integration of critical SDV stacks for seamless development and deployment
- High-Performance Compute Stack
- Virtual Development with environment parity
- Toolchains, Digital Twins, and Libraries
Designed for easy portability across multiple semiconductor platforms
Supports multi-OS on multi-core compute, enabling the hosting of both safety-critical and non-safety features across compute domains
Supports interoperability with third-party systems, including simulation tools for pre-deployment testing, and leverages cloud connectivity for expanded functionality
Leverages GenAI to automate the creation of test scenarios and system models from requirement specifications, producing detailed artifacts like pre-conditions, procedures, and expected results
Enable advanced AI-driven refinements and supports customizations like noise factors, edge cases, and tailored test suites with integrated chatbot
Simulation tool compatible model files for ensuring smooth integration into model development workflows
Builds a knowledge base from past specifications and outputs, enhancing accuracy and reducing manual effort through contextual learning over time
LTTSiDriVe™: Architecture
Benefits
Real-Time Vehicle Monitoring
Implements solutions for real-time diagnostics and performance monitoring, allowing for proactive maintenance and improved vehicle performance
Scalability and Performance
The core components can be scaled horizontally to handle increased workloads and ensure efficient performance
Flexibility and Extensibility
New modules can be easily integrated into the platform, enabling seamless adoption of new technologies and tools
Centralized Data Management
Provides a single source of truth for all SDV assets, ensuring data consistency and traceability across the platform
AI Driven Testing and Optimization
The framework streamlines test scenario creation with AI, delivering accurate, customizable output. Its refinement tools and knowledge base boost efficiency, enabling faster development and reliable results
Resources
Preparing for SDV2.0: Key Considerations for Global OEMs
There is a considerable amount of interest in the Software-Defined Vehicle (SDV) – and the trend is accelerating.
A Minimalistic Approach toward Core Tools and Open-Source St...
The Eclipse SDV stack is designed with modularity in mind, which means you can tailor it to fit your specific needs for the automotive domain.
