AI powered Battery Management System with AURIX™ TC4x
BEVOP is a comprehensive demo kit for Battery Management System development, built around TC4x AURIX Microcontroller and complemented by Infineon's voltage and current sensing chips.
AI enhanced Trajectory Planning & Control with AURIX™ TC4x
AURIX TC4x is running a Trajectory Planner and Controller to operate a vehicle driving in a coupled simulation in the loop. The Controller is getting enhanced via Deep-Learning to track the given Trajectory more accurately and comfortable.
Talking to the car with TRAVEO™ T2G
This demonstrator showcases the TRAVEO T2G low power, always-on capabilities by utilizing a microphone and machine learning (ML) model to detect specific keywords from human voice commands. Upon detection, the system reacts by performing actions such as opening the car trunk. The focus of this demonstrator lies in highlighting the microcontroller's energy-efficient, always-on features.
Implementation of AI-based motor control on Infineon AURIX™ TC4x
Model-Based Driver-in-the-Loop demo of a modelling, verification and deployment workflow implementing an AI-augmented Field-oriented Control (FoC) motor controller on the Infineon AURIX™ TC4x heterogeneous multi-core microcontroller platform enabled by the dedicated Hardware Support Packages (HSPs) for MathWorks® Embedded Coder® targeting Infineon TriCore(TM) and PPU through vectorized code generation (e.g., SIMD).
Acoustic siren detection with AURIX™ TC3x
This model recognizes siren sounds from emergency vehicles, which can be used to alert pedestrians to emergency vehicles in their vicinity, or to trigger safety features in wearables. The demonstration covers end-to-end information on how to build, train, and evaluate a siren detection machine learning model using Imagimob Studio and Infineon Technologies development boards.