Pune Demo Stations

AUTOSAR: Classic and Adaptive Using Model-Based Design

  • Automatic modeling and code generation of AUTOSAR software components
  • Scaling from software components to compositions 
  • Importing and exporting AUTOSAR descriptions artefacts (ARXML files)
  • Simulation of AUTOSAR ECU software using NVRAM Manager and Diagnostics Event Manager services

Enterprise-Level Deployment of Polyspace® for Code Verification

  • Improve the software quality, safety, and security at the enterprise level 
  • Integration with automation servers such as Jenkins™, and bug-tracking tools such as Jira 
  • Dashboard display of software quality, project status, software defects, and code metrics

Integrating MATLAB with Cloud and Enterprise Platforms

  • Databases (SQL, MongoDB®)
  • Analytics APIs (Athena, Azure®)
  • Data-streaming engines (Kafka, IoT hub)
  • Visualization (Tableau, Power BI) links

Deep Learning and Reinforcement Learning

  • Algorithm development
  • Deployment on embedded targets
  • Working with LiDAR data
  • Reinforcement learning

Hardware Connectivity Play Area

  • Connect to hardware using MATLAB® and Simulink®
  • Auto code generation and hardware deployment of the designed algorithms on multiple hardware

Create Standalone Embedded Applications Using MATLAB

  • Create standalone applications for Raspberry Pi™ hardware using MATLAB 
  • Generate code for Raspberry Pi peripheral methods

Sensor Fusion and Tracking for Automotive Applications

  • Simulate measurements from inertial & GPS sensors
  • Visual inertial odometry fusion using synthetic data
  • Design multi-object trackers as well as fusion & localization algorithms

Motor Control with Dual Core TI MCU

  • Field Oriented Control of PMSM   
  • Fast Signal logging   
  • Dual core and CLA Co-processor code generation  
  • LED Brightness Control using DC-DC Buck-Boost converter

HDL Code Generation and Verification

  • Generate optimized (area and speed) VHDL®/Verilog® code
  • Import RTL to Simulink
  • Integrate and test legacy HDL IPs
  • Manage external memory and interface access

Architecture Modeling

  • Model system level architecture
  • Perform trade studies
  • Import and export architectures from third-party tools

Model and Simulate Vehicle Dynamics in Virtual 3D Environment

  • Ride and Handling: Characterize vehicle performance under standard driving maneuvers
  • Chassis Control: Design and test chassis control systems
  • ADAS / AD: Create virtual 3D test ground for ADAS and automated driving features 

Digital Twin

  • Computerized representation of a gear pump hydraulic systems using physics-based models
  • Use data from sensors installed in the hydraulic circuit to represent near real-time status and working condition of the asset
  • Identify nature of faults using sensor data 

Vehicle Electrification

  • Benchmark with existing vehicle and determine the requirements for electrification
  • Addressing challenges related to motor and battery selection and sizing
  • Virtual Calibration: Generating optimal calibration tables for electric motor controllers

Automated Driving

  • Import driving scenarios from external sources 
  • Path planning for automated driving 
  • LiDAR processing and tracking 
  • HD map interfaces