Reduced Order Modeling with AI: Accelerating Simulink Analysis a...
Learn about different reduced order modeling (ROM) methods and see how to create AI-based ROMs using LSTM, neural ODE, and nonlinear ARX methods. See how to integrate AI models into Simulink for ha...
Bringing Real World to Simulation for Virtual Testing of Automat...
In this session, hear ARAI discuss creating virtual scenarios from recorded sensor data mounted on vehicles running on Indian roads, then integrating the created scenarios with a test automation fr...
Develop AUTOSAR Classic & Adaptive Applications with Model-Based...
You can learn about Simulink Advance Support for AUTOSAR features modeling AUTOSAR Classic and Adaptive Software applications, Authoring AUTOSAR software architectures, Simulating AUTOSAR compositi...
Master Class—Developing Service-Oriented Architecture and Imple...
Hear MathWorks experts discuss how the industry is embracing service-oriented architectures (SOA) as a new paradigm to design software applications that are highly reusable, easy to update, and loo...
Author AUTOSAR Software Interfaces and Types Using the Interface...
Learn how to use the interface dictionary to define interfaces and types, configure their Simulink design data and AUTOSAR properties, and share definitions across components and architecture model...
Diagnostic Fault Injection for Coverage Testing AUTOSAR Componen...
Learn how AUTOSAR diagnostic faults can be defined in a test harness to better simulate and verify component models using basic software services.
CARLA × RoadRunnerで始める！自動運転・ADASシミュレーション開発 ...
自動運転/ADASアプリケーションの開発で広く使われているシミュレーション環境CARLAと、その検証シーン作成に必要なRoadRunnerの連携についてご紹介します。
Interoperability Between DDS Blockset and AUTOSAR Adaptive Appli...
Learn more on how to migrate a DDS-configured Simulink model to AUTOSAR adaptive application components and deploy it on a Linux target.
RoadRunner Scenario: Cosimulate with CARLA Video - MATLAB & Simu...
Simulate and visualize scenarios with RoadRunner Scenario and connect to CARLA for cosimulation.
Getting Started with Deep Learning for Radar Systems Video - MAT...
Learn how deep learning and machine learning techniques can be applied in radar applications for target and waveform identification, occupied spectrum sensing, micro-Doppler signature analysis, bea...
Onboard Battery Pack State of Charge Estimation Using a Trained ...
Train and validate a neural network to estimate pack state of charge (SOC) during vehicle charging. Deploy as a “shadow” strategy within an existing AUTOSAR SOC software component.
Challenges and Successes in Migrating Legacy Software Modeling t...
Discuss how executive sponsorship and vision, AUTOSAR, CI/CD, and “simulate everything” are helping to cement change and surmount challenges in culture, legacy technical debt, and skill sets toward...
Converting Spreadsheet-Based Scenario Definitions to OpenSCENARI...
See how Ford engineers created a tool to convert scenario definitions from spreadsheets into OpenSCENARIO standard format and visualize converted scenario in Automated Driving Toolbox. It enabled e...
Design and Simulate Scenarios for Automated Driving Applications...
Explore how to quickly author scenarios on realistic road networks and simulate scenarios with agents designed in MATLAB, Simulink, or CARLA. The scenarios can be exported to OpenSCENARIO for simul...
Developing Onboard SOH Estimation Using DVA and ICA for LFP Batt...
Discover how Gotion developed a high-accuracy onboard battery state of health estimation method based on the differential voltage (DVA) and incremental capacity analysis (ICA), then tested and conv...