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Agenda 2023
DAY 1: MONDAY, 13 NOVEMBER, 2023
0830 - 0930 REGISTRATION AND MORNING REFRESHMENTS
0930 - 0940 OPENING ADDRESS
0940 - 1005 AUTONOMOUS VEHICLES AND PASSENGER VEHICLE FLEET
- Progress is being made on AV technology, but there is uncertainty over the timing and adoption speed
- If AVs operate as shared vehicles, there could be a substantial impact on global passenger segment
- Effect on the size of fleet and distance travelled, to electricity demand and the need for EV chargers
Andrew Grant
Bloomberg
Bloomberg
1005 - 1010 Q&A SESSION ON OUTLOOK ON SHARED AV
1010 - 1030 SPEED NETWORKING SESSION
- Exchange business cards and get connected in short one-to-one meetings
- Start the conversation to arrange a more formal meeting later on in the conference
- Share your professional background and discuss your biggest business issues – Don't forget your business cards!
Conference Host
1030 - 1100 MORNING COFFEE BREAK IN THE EXHIBIT AREA
1100 - 1130 PANEL DISCUSSION ON THE FUTURE OF AUTONOMOUS VEHICLES IN MaaS
- When can we expect automated MaaS-like services like San Francisco in Europe ?
- What are the biggest obstacles in scaling autonomous vehicles currently ?
- Will automated MaaS services with AVs be a challenge to cities like e-scooters had been ?
Olav Madland | Applied Autonomy
Christian Bering | Holo
Bernhard Kockoth | ViGEM GmbH
Christian Bering | Holo
Bernhard Kockoth | ViGEM GmbH
1130 - 1200 RESERVED PRESENTATION
1200 - 1330 NETWORKING LUNCH & VISIT THE AUTOMOTIVE VEHICLES EXHIBITION
1330 - 1355 TOWARDS VEHICLE DEVOPS
- The software-defined vehicle with ADAS/AD features brings complexity to in-vehicle software development
- Vehicle DevOps is a way of creating a constant development flow with short feedback cycles
- Current challenges for in-vehicle software development and approaches to increase engineering effectiveness
Michael Fait
Thoughtworks, Inc.
Thoughtworks, Inc.
1355 - 1400 Q&A SESSION ON IN-VEHICLE SOFTWARE DEVELOPMENT
1400 - 1425 SOFTWARE-DEFINED VEHICLE IS NOT EASY TO ENGINEER
- Importance of SDV and it being one of the major hurdles in realising the dream of autonomy
- Challenges of SDV originating from concerns of Safe AI, complex systems, software updates
- Three main strategies we could use to tackle the challenge
Shashank Pathak
ZF Friedrichshafen AG
ZF Friedrichshafen AG
1425 - 1430 Q&A SESSION ON SOFTWARE-DEFINED VEHICLE
1430 - 1455 BEHAVIORAL PREDICTION AND MOTION PLANNING
- Behaviour prediction and motion planning for the current generation of AVs
- Behaviour prediction and motion planning for the next-gen of AVs and beyond
Nicola Poerio
Stellantis NV
Stellantis NV
1455 - 1500 Q&A SESSION ON MOTION PLANNING IN AV
1500 - 1530 AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
1530 - 1555 SAFETY AND SECURITY IN AUTONOMOUS VEHICLES: HOW SAFE IS SAFE ENOUGH?
- How safety and security are different in autonomous vehicles
- The biggest challenge in autonomous vehicles is the so-called unknown unknown
- Both ISO and SAE have been working to take on ISO26262 to incorporate AV scenarios
Dr Hasan Ibne Akram
Matrickz
Matrickz
1555 - 1600 Q&A SESSION ON SAFETY AND SECURITY IN AUTONOMOUS VEHICLES
1600 - 1625 REVOLUTIONISING ROAD SAFETY: LEVERAGING AI OVER RADAR DATA
- 4D imaging radar offers distinct and complementary advantages to cameras
- Leveraging different sensing technologies to overcome the limitations of each sensor alone
- Radar data complements the data obtained from other sensors
Sani Ronen
Arbe Robotics
Arbe Robotics
1625 - 1630 Q&A SESSION ON RADAR DATA FOR ENHANCED PERCEPTION
1630 - 1655 AZURE CLOUD FOR ADAS/AD SIMULATION, VALIDATION, AND SCENARIO GENERATION
- Using Azure HPC services for sensor fusion across LiDARs, radars at scale
- Integrating Azure OpenAI generative services for scenario generation and management
- Using Azure Nvidia GPUs for inference, training, and model-based deep learning for L3/L4 autonomy
Gabriel Sallah
Microsoft
Microsoft
1655 - 1700 Q&A SESSION ON ADAS/AD SCENARIO GENERATION
1700 - 1725 DIGITAL TWIN GENERATION AND VARIATION OF 3D SCENE MAPS IN REINFORCEMENT LEARNING
- 3D scene maps based on the feedback of a reinforcement learning agent (RLA)
- Template project created with a very high level of automation from real-world data
- The generation runs in a docker container, and the results are used for validating ADAS algorithms
Stephan Kussmaul
TrianGraphics GmbH
TrianGraphics GmbH
1725 - 1730 Q&A SESSION ON VALIDATION OF ADAS ALGORITHMS
1730 - 1830 NETWORKING DRINKS RECEPTION
DAY 2: TUESDAY, 14 NOVEMBER, 2023
0900 - 0930 MORNING REFRESHMENTS
0930 - 0940 OPENING ADDRESS
0940 - 1005 A CITIZEN-LED SELF-DRIVING FUTURE?
- What role does an informed and engaged group of citizens see for autonomous transport in 2050
- Findings from one of the largest public trials of self-driving vehicle technology in the UK
- Based on innovative research techniques involving first-of-a-kind rural trials, this is one of the most comprehensive pictures to date of public attitudes toward autonomous vehicles
Lucy Farrow
Thinks Insight & Strategy
Thinks Insight & Strategy
1005 - 1010 Q&A SESSION ON PUBLIC TRIALS AND PERCEPTIONS OF AUTONOMOUS VEHICLES
1010 - 1035 FOSTERING AV MARKET DEPLOYMENT: HOW CAN REGULATIONS HELP
- The French automated and connected mobility strategy
- The objectives, priority actions, and stakeholders' involvement
- A two-fold regulatory framework: safety and facilitation
Elsa Lanaud
MINISTÈRE DE LA TRANSITION ÉCOLOGIQUE ET DE LA COHÉSION DES TERRITOIRES
MINISTÈRE DE LA TRANSITION ÉCOLOGIQUE ET DE LA COHÉSION DES TERRITOIRES
1035 - 1040 Q&A SESSION ON FRENCH AV REGULATIONS
1040 - 1105 THE BEST WAY FORWARD TO SCALE AUTONOMOUS TRANSPORT
- What are the challenges to scale – technology, migration to autonomy or legislation?
- Why scale autonomous transport – any common understanding between the user and the solution provider?
- What can be offered towards delivering scale for autonomous transportation?
Olav Madland
Applied Autonomy
Applied Autonomy
1105 - 1110 Q&A SESSION ON SCALING AUTONOMOUS TRANSPORTATION
1110 - 1130 MORNING COFFEE BREAK IN THE EXHIBIT AREA
1130 - 1155 EFFICIENTLY ENABLING CENTRALISED RADAR ARCHITECTURES
- Bandwidth and interface requirements of today and tomorrow
- Sensor applications and challenges with a particular focus on centralised processing radar applications
- How MIPI A-PHY efficiently interconnects components and addresses security and functional safety
Jürgen Baumgartner
Valens Semiconductor
Valens Semiconductor
1155 - 1200 Q&A SESSION ON FUTURE-PROOF IN-VEHICLE CONNECTIVITY
1200 - 1225 FUSING AI-DERIVED INFORMATION FROM CAMERAS AND MAPS
- AI can generate better digital maps used by navigation and automated driving applications
- Fusing information from digital maps and cameras can lead to new applications around AR and ISA
- AI can lead to much better navigation systems for safer driving
Martin Pfeifle
NNG Kft
NNG Kft
1225 - 1230 Q&A SESSION ON AI GENERATED MAPS FOR NAVIGATION
1230 - 1255 AUTOMATED SHUTTLES TO SUPPORT SUSTAINABLE URBAN MOBILITY
- Automation has the potential to support a paradigm shift in mobility
- Integration in urban mobility and policies are key factors influencing a sustainable deployment
- The deployment of automated shuttles/buses could represent a cornerstone of MaaS
Eliane Nemoto
ICLEI Europe
ICLEI Europe
1255 - 1300 Q&A SESSION ON AUTOMATED SHUTTLES AS MAAS
1300 - 1315 FEEDBACK & RAFFLE DRAW
1315 - 1430 NETWORKING LUNCH
Key topics for 2023:
- 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 insights from leading manufacturers and developers and implement strategies that others in the industry use to ensure the successful development of AVs. - Latest research in artificial intelligence and deep learning for developing autonomous vehicles
Explore innovations and assess the latest results from tests and trials 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 use to accelerate autonomous vehicle development from pilot to deployment.
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