KPIT CES showcase at Michigan for GM will be hosted by :

Anup Zobel

Chief Technology Officer und Vorstandsmitglied

Pushpahas Joshi

Mitglied der Geschäftsleitung und Leiter der Business Unit

Experience interactive tech demos presented by subject matter experts, business leaders, and tech managers, and gain valuable insights and hands-on experience.

Demonstration Themes

Left-shift SDV architecture validation

Accelerating launch of higher autonomy programs

Driving efficiencies for EV programs

Connected Vehicle and Cloud Solutions

Open walk-ins for demonstrations from 9:00am - 4:00pm
Leadership sessions attendance by Registrations only

Themes

Left-shift SDV architecture validation

Demo & Presentation Highlights Key Takeaways / Use Cases Being Demonstrated
KPIT's "Blue Print" - SDV Reference Architecture Platform for accelerating SDV architecture POC
  • Hardware prototypes during the architectural Proof of Concept (POC) phase to reduce risks
  • End-to-end data flow validation across Ethernet, CAN – Communication between Software contexts across HPC, Zonal and Nodes
  • End-to-end time sensitive network testing

SDV Test Approach - Virtual to Real Validation

  • E/E Architecture
  • Network
  • Functional Domain
  • Platform
  • Vehicle System Integration
  • Validation of Network Specifications, Architecture decisions, and Assumptions
  • Integrated Multi domain validation
  • 100% Automated Regression
  • SW Commit to Test Feedback in 48 hours for E/E Architecture, Network, Platform, Domain, Multi-domain integration
  • Scaled Test Environment to enable 100% Regression
  • Seamlessly accommodates and tests new feature releases ensuring up-to-date system validation

Key Showcase

XR based virtual reality and virtual prototyping for Vehicle Engineering & Design:

  • Virtual Simulation of Zonal Wiring Harness
  • Virtual Cockpit Experience
  • Virtual System Assembly

Virtual Simulation of Zonal Wiring Harness

  • Scaled design & development process
  • Early validation and optimization
  • Faster development cycles
  • Reducing expensive physical prototypes
  • Overcome geographical constraints

Virtual Cockpit Experience

  • Immersive cockpit experience
  • Real-time interaction
  • Customizable configuration
  • Enhanced user feedback
  • Simulation of real-time scenarios

Virtual System Assembly

  • Training and skill enhancement
  • Remote assistance
  • Collaborative design and evaluation
  • Reduced development cost
  • Integration with IoT and Sensor data

Accelerating launch of higher autonomy programs

Demo & Presentation Highlights Key Takeaways / Use Cases Being Demonstrated
Towards L3+ Autonomy with AD Transformation
  • Object Detection with multiple video streams on HPC
  • Cloud based Data Driven Validation
  • Ensure and improve coverage to cover corner cases
  • Predict failures and detect patterns powered by Autonomous analytics
  • Transformation to SoA based architecture to enable ‘feature on demand’
  • AI for Path and Trajectory Planning
  • Accurate behaviour prediction of dynamic objects and especially non-AD vehicle drivers

Integrated Vehicle Motion Control

  • Consolidation of distributed functions (Steering, Braking, Suspension and Vehicle Motion Control) into single controller
  • AI driven new features
  • Hardware Software Decoupling
  • Service Oriented Architecture
  • Legacy Transformation / Migration strategy

Driving efficiencies for EV programs

Demo & Presentation Highlights Key Takeaways / Use Cases Being Demonstrated

Achieving Seamless Charging Ecosystem

  • High Voltage validation for ePT components across V-cycle
  • Accelerated EV Adoption
  • How to achieve seamless integration of the multiple discrete stakeholders in the context of the charging ecosystem
  • How to integrate charging functionality with SDV
  • Real-Time Charge Session Monitoring: EV charging sessions, tracking charging status and energy consumption.
  • Plug and Charge: Demonstrate end-to-end PnC sessions with ISO15118-compliant certificates using an AWS Backend.
  • Data-Driven Insights
  • Build the necessary infrastructure from OEM back-end perspective to enable a smooth charging experience

Connected Vehicle and Cloud Solutions

Demo & Presentation Highlights Key Takeaways / Use Cases Being Demonstrated

Deep-personalized, secure & connected cockpit experience

  • Multi-user identification, cross vehicle profile, blended experience, companion mobile-App, in-car gaming
  • In-car personalization in shared environment without compromising on the data privacy and security
  • Different use cases providing Deep-personalized, secure & connected cockpit experience with On-board to Cloud Software integration

Key Showcase

In Car Gaming - Airconsole

  • In Car gaming console
  • Entertainment room on wheels

Automotive OEM data platform

  • Data ingest & management, SDV data harvest, Data monetization, Vehicle SW homologation, End-to-end vehicle SW lifecycle management
  • Upgradable digital experience, creating avenues for monetization and managing vehicle SW homologation throughout the vehicle SW lifecycle.
  • Managing seamless access to data from on-board to off-board on cloud

OpenAI-powered Automotive repair & maintenance advisor

  • Large language model (LLM) powered data synthesis
  • Conversational approach for intelligent and interactive diagnosis & repair guidance
  • Automated DTC troubleshooting content generation
  • Seamless data synthesis for accurate diagnostics
  • Voice-enabled & natural language command-driven interface to interact with the diagnostic system
  • Improved user interaction through a guided repair process, leveraging vehicle context and knowledge graphs to enhance the overall experience
  • AI-driven quality assurance for diagnostic content authoring

Register to Leadership Sessions

    Select Sessions