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
