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Agenda 2021
DAY 1: WEDNESDAY, SEPTEMBER 1, 2021
0830 - 0930 REGISTRATION AND MORNING REFRESHMENTS
0930 - 0940 OPENING ADDRESS
0940 - 1010 CHALLENGES FACING REGULATORS AND POLICY MAKERS WITH AV DEPLOYMENT
- AV technology is posing numerous challenges to regulators and policymakers.
- While AV technology will be deployed on electric vehicle platforms, it is bringing a convergence of three established industries - the power industry, communication industry, and transportation industry.
Mary Joyce
UL LLC
UL LLC
1010 - 1040 ENABLING THE DEPLOYMENT OF TRUE DRIVERLESS VEHICLES
- As autonomous vehicles move from the current prototyping phase into first deployments without safety drivers, the computing complex needs to evolve dramatically, maintaining the performance but reducing size, weight, power and cost, and increasing its safety and security.
- Looking at the new technologies that will enable that computing evolution without having to re-architect the large software stack that is “driving” the vehicle.
Dawn Hill
Arm Limited
Arm Limited
1040 - 1100 MORNING COFFEE BREAK IN EXHIBIT AREASPONSORED BY LDRA
1100 - 1130 AUTONOMOUS FEATURE SAFETY – LET’S DEMYSTIFY UL4600, SOTIF AND ISO 26262 FOR AVS
- Clear feature definition, risk assessment with triggering events (from HARA to HARE), and clear feature design.
- Design verification with technical risk mitigation - identify, monitor, catch, degradation and recovery.
- A whole new world for scenario simulation and safe releases with a dynamic safety case for Avs.
Fabian Koark
Invensity
Invensity
1130 - 1200 ANALYSIS OF HAZARDS FOR AUTONOMOUS DRIVING
- Hazard analysis is the core of numerous approaches to safety engineering.
- Addressing the immense challenge associated with the scope of training and testing for rare hazard for Autonomous Drivers.
- Introducing a dynamic hazard approach whereby autonomous drivers continuously monitor for potential and developing hazard, and estimate their Time to Materialization (TTM).
Edward Schwalb
MSC Software
MSC Software
1200 - 1330 NETWORKING LUNCH & VISIT AUTONOMOUS VEHICLES EXHIBITION
1330 - 1400 AUTONOMOUS DRIVING – INNOVATION’S INTERSECTION WITH SAFETY
- Historical concepts of safety in automotive, with technology advancing at unprecedented level.
- Autonomous driving has made implementation of functional safety impractical with traditional industry practices.
- Innovation is required not only in technology, but in the process and in the process workflow.
Steve Neemeh
LHP Engineering Solutions
LHP Engineering Solutions
1400 - 1430 REDUCE ADAS/AD DEVELOPMENT TIME AND TEST DRIVE RELIANCE WITH IN-LAB ADAS/AD FUNCTIONAL TESTS
- Sensor Fusion HIL Test Workbench for combined ECU and sensor performance verification.
- Scale for different sensor packages and ADAS/AD functions.
- Lessons learnt from the first 6 global deployments.
Ram Mirwani
Konrad Technologies
Konrad Technologies
1430 - 1500 AFTERNOON COFFEE BREAK IN EXHIBIT AREASPONSORED BY XENOMATIX
1500 - 1530 CHALLENGES IN AD SYSTEM INTEGRATION AND ARCHITECTURAL ELEMENTS THAT SUPPORT IT
- Integrating components of an AD system from an ecosystem of suppliers and validating the function they are supposed to perform together.
- Case study of MotionWise - identifying the system components in a vehicle embedded software.
- Picking out a few underlying architectural concepts and features and explaining how they support the system integration.
Manuela Midl
TTTech Auto
TTTech Auto
1530 - 1600 4D-AI FOR OBJECT DETECTION - A NEW AI APPROACH LEVERAGING LIDAR-CAMERA INHERENT SENSOR FUSION
- Understanding the limitations of traditional AI and a multi-sensors approach.
- “Very Early Sensor Fusion” - an innovative sensor fusion approach.
- 4D-AI. Enabling faster, lighter, and reliable object detection and classification.
Jacopo Alaimo
Xenomatix
Xenomatix
1600 - 1630 MODEL-IN-THE-LOOP AND HARDWARE-IN-THE-LOOP FOR AUTONOMOUS VEHICLE & ADAS TESTING
- Discovering the challenges and solutions associated with using real-time simulation and HIL setups in autonomous and ADAS control validation.
- Overcoming the obstacles when testing autonomous / ADAS controls by migrating physical testbeds onto simulation platforms.
Jose Roberto Barros
OPAL-RT Technologies, Inc
OPAL-RT Technologies, Inc
1630 - 1700 SPARTAN BIOMIMETIC RADAR – SEEING MORE WITH LESS DATA
- Spartan Radar is deploying a range of novel radar signal processing algorithms that enable "LiDAR like" resolution
- Unlike most sensing solution, our goal is to reduce the amount of data the sensor produces to reduce the cost of computation
- Developing a novel antenna design that results in higher resolution and range when we have removed most of the antenna elements
- Spartan Radars technology will help bring more autonomous systems to reality by offering a more reliable sensing modality
Cameron Gieda
Spartan Radar
Spartan Radar
1700 - 1800 NETWORKING DRINKS RECEPTION
DAY 2: THURSDAY, SEPTEMBER 2, 2021
0900 - 0930 MORNING REFRESHMENTS
0930 - 0940 OPENING ADDRESS
0940 - 1010 DATA MANAGEMENT CHALLENGES AND SOLUTIONS FOR CONNECTED AND AUTONOMOUS VEHICLE DEVELOPMENT
- Optimized data collection - scaling the in-vehicle storage capacity and data offloading speed while protecting the data.
- Preparing, processing, and archiving petabytes of data without “breaking the bank”.
- The need to implement a distributed data lake and why AI should run at the edge.
Plamen Minev
Quantum Corporation
Quantum Corporation
1010 - 1040 ADVANCED CONCEPTS IN SYSTEM SAFETY FOR AUTONOMOUS VEHICLES
- State-of-the-art techniques for exploring corner case failures in simulation.
- A novel concept for developing a safety controller for autonomous vehicles.
James Lopez
Motional, Inc
Motional, Inc
1040 - 1110 REAL-TIME WORK ZONES DIGITALIZATION TO EASE CAV NAVIGATION
- What are the challenges that the work zones are representing for the autonomous vehicles.
- New technology to identify active work zones and their challenging environment components.
- How do we share the information, in real time, when a work zone is deployed or removed.
- Modelling the technology to the processes in place.
Serge Beaudry
VER-MAC
VER-MAC
1110 - 1130 MORNING COFFEE BREAK IN EXHIBIT AREASPONSORED BY KONRAD TECHNOLOGIES
1130 - 1200 VALIDATION OF HPCs FOR AUTONOMOUS VEHICLES
- Validating HPCs for autonomous driving is based on massive use of simulation.
- Different simulation and validation methods from SIL and cloud based simulation over data replay through real-time closed-loop HIL simulation and testing must go hand in hand.
- An effective test strategy incorporating simulation, data replay, and scenario based testing will be presented.
Thorsten Oppermann
dSPACE GmbH
dSPACE GmbH
1200 - 1230 HOW V2X AND 5G EDGE COMPUTING WILL TRANSFORM CAR CONNECTIVITY
- Increased 5G connectivity to the car for easier and heightened consumer experiences.
- Advanced technology to allow consumers and vehicles to stay connected at all times.
- Create better safety, more cost savings, and energy efficient opportunities for consumers.
Mahsa Nakhjiri
Harman International
Harman International
1230 - 1300 ELECTRIC VEHICLES AND NEW E-FUEL ALTERNATIVES WILL TRANSFORM OUR WORLD
- What of these batteries? Once manufactured what do we do? How do we do it? Why should we do it?
- Autonomy - Are car companies telling us the truth?
- Features - How do new electrical or digital features add value to your design and engineering?
Marco Soriano
Soriano Motori Corp
Soriano Motori Corp
1300 - 1400 NETWORKING LUNCH & RAFFLE DRAW
Key topics for 2021:
- The future of autonomous vehicles, market outlook, and industry outlook
Understand the economic fundamentals and key market drivers for autonomous vehicles from a global perspective. - Exploring new technologies and strategies for connected and automated vehicles
Look for new opportunities and make the business case for adopting new technologies and techniques to support next-generation automotive applications. - New advancements in LIDAR, ADAS calibration, and sensor fusion for CAV development
Gain insight from leading manufacturers and developers and implement strategies that others in the industry are using to ensure the successful development of AVs. - Latest research in artificial intelligence and deep-learning for developing autonomous vehicles
Explore new innovations and assess the latest results from tests and trials in using artificial intelligence and machine-learning to enhance the decision-making process of AV control systems. - Developing scalable autonomous vehicle control systems with high-performance in mind
Deliver reliable and scalable production methods with new AV technologies and solutions to meet the needs of tomorrow’s automotive manufacturers. - Upcoming regulations and safety standards for next-generation autonomous vehicles
Hear from key regulators and classification bodies to ensure that connected and automated vehicles meet the requirements of new regulations and industry standards. - Automotive manufacturer case studies and working with leading developers
Gain insight from leading manufacturers and implement strategies that others in the industry are using to accelerate autonomous vehicle development from pilot to deployment.
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