LogoAutomotive Agile PEP Europe|November 16 – 17, 2020, Detroit, Detroit

L4+ Automated Driving & Autonomous Vehicle Technologies
Enable – Accelerate - Deploy
date_range November 16 - 17, 2020
The Henry Detroit, USA
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Tech.AD is the award-winning, global business event series for OEMs & T1s working on technical challenges for vehicle automation L4+. Join the Leading Autonomous Driving Race in the USA!
Tech.AD USA is the leading knowledge exchange platform in North America bringing together 250+ stakeholders who are playing an active role in the vehicle automation scene. Testing & Validation, Sensor Fusion, Deep Driving, Operational Safe Systems, Cognitive Vehicles, Software Architectures & much more. Join Tech.AD and discuss your roadmap for vehicle automation. Discover the next era of vehicle automation – Now!

Keynotes & Highlights in 2020

SDNC! Our Smart Distancing & Networking Concept

Hybrid-Conference-Experience! Discover the most interactive and hybrid conference concept in the industry!

Tech.AD at a glance

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Leading AV R&D Experts
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Industry-focussed speakers
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Sessions full with interaction & discussions
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Hours of networking!

Tech.AD USA Mission

The Premier Automated Vehicles Event in the United States!

  • Gain insights into the latest testing, verification & validation methods and tools for autonomous vehicle
  • Better understand functional safety, the role of ISO 26262, Operational Safety & Safety-critical systems & security aspects for ADAS and automated driving, and the implications of machine learning for functional safety
  • Debate the extent that edge cases define the development of autonomous vehicles and which test cases can we cover with simulation and which not. Explore the challenges of virtual kilometers (simulations, HIL/SIL) as a potential industry validation method
  • All you need to know about the impact as well as application of AI, machine learning, deep learning, in the development of self-driving cars level 4+
  • Understand the state of the art algorithms for computer vision and machine learning including those most important for the automotive industry
  • Discuss latest trends in sensor & perception technology and insights into environmental models and sensor fusion concepts
  • Explore how the trucking industry paving the way in autonomy, platooning concepts and see the latest results & challenges from early deployments of autonomous shuttles
  • Gain insights into insights about real-time precision vehicle localization & mapping, opportunities for autonomous vehicles with 5G & V2x
  • Discuss the advantages of reliability testing of software and hardware systems
  • Explore Fail Operational E/E System concepts for future application in ADAS and autonomous driving

The Tech.AD USA Sessions – Our Multi Touchpoint Networking Concept!

The 2.5-day event is a unique combination of inspirational keynotes, well-moderated, interactive World Café and Challenge your Peers sessions, icebreakers, morning as well as training sessions and much more.

Be part of our exclusive platform that explores business models, case studies, actions and profitability and identify missing gaps that hide opportunities, chances and potential solutions for your technical and business challenges.

We look forward to welcoming you to Tech.AD in Detroit!

We have Partners

…not sponsors. Tech.AD USA is a unique event in the business & technology world because of our relationship with our partners. Our aim is to support them to reach their targets and inspire innovation. Position your business as a thought leader at the Tech.AD USA and become a partner today!

Thanks for organizing a great event!
Steve Vozar, CTO and Co-Founder
May Mobility
This is a great event for networking, learning and sharing ideas
Radovan Miucic, Director, Connectivity Systems Engineering
Lear Corporation
Well-organized and fantastic.
Sagar Behere, Senior Manager, Systems Engineering (Highly Automated Driving)
Toyota Research Institute
Engaging discussions on pertinent technical topics shared at an appropriate depth for a broad audience.
Andre Welch, Manager, Automotive Safety Rulemaking and Policy
Ford Motor Company
The Tech.AD conference…is a great event!
Sergio Amaya, Director Automotive Software
NVIDIA
Thanks for running a first-class event!
Philip Koopman
Associate Professor, Carnegie Mellon University
I enjoyed the many relevant technical presentations and made good use of the opportunities to discuss common problems with the other participants.
Gregory Baratoff, Vice President, Autonomous Vehicles System Development Center
Hyundai Mobis
Much more interactive than traditional conferences – better engagement between attendees
Andrew Whydell, Vice President, Systems Product Planning – Active and Passive Safety Technology
ZF
I’ve been working with we.CONECT Global Leaders for many years. Love the format! The interactivity really sets ut apart from other autonomous vehicle events!
Richard Bishop, Vehicle Automation Expert
Bishop Consulting
Thank you so much for the opportunity! I always love your conferences, great stuff! The social aspects were great. The technical level was great. The food was so good. And, the crowd was a nice mix.

Kimberly Clavin
VP of Engineering, Pillar Technology, An Accenture Industry X.0 Company
Thanks for putting together a great event. I look forward to an even more successful one next year.
Mo Poorsartep, Manager AV Integration and Test
Lyft

Key Topics

AI, Machine Learning, Neural Networks, Deep Driving & Cognitive Vehicles

  • What is the state of the most state of the art algorithms for computer vision and machine learning? What role will Deep Neural Networks (DNN) have in future self-driving cars and what will the associated challenges of this be? What are the implications of machine learning for functional safety? What level of traceability is possible with neural networks? How much real-time data and decision logs can we access? Can we really implement end-to-end learning or is it better use hybrid approaches? What are the key challenges in AI and perception technologies for autonomous vehicles?

Virtual & Real Life Testing, Validation & Simulation

  • To what extent do edge cases define the development of autonomous vehicles? Which test cases can we cover with simulation and which not? Will virtual kilometers (simulations, HIL/SIL) be accepted as an industry validation method? What can we learn from the latest research in advanced, large-scale testing of autonomous vehicles and validation methods? What are the challenges behind using synthetic data for validation?

Autonomous Shuttles, Commercial Vehicles, Trucking Automation, Platooning & Deployment

  • What are the key challenges in the Cybersecurity of Autonomous Vehicle Platooning? What are the different control algorithms? How do different wireless technologies perform in high-density truck platooning achieved with vehicle-to-vehicle (V2V) communications? What results and challenges do we see from the early deployment of autonomous shuttles and autonomous platoons? What data is already being collected, what data is missing and what are future research requirements?

Safety & Security: Active Safety, Functional Safety, Operational Safety & Safety-Critical Systems, Embedded Systems & Cybersecurity

  • In what areas are ISO 26262 insufficient? Does SOTIF fully close the gap where ISO 26262 is insufficient? How to achieve functional safety for autonomous vehicles? How can we ensure functional safety with AI and machine learning? What do we still need to do to achieve functional safety for deep learning algorithms?

Sensor Fusion, Sensor & Perception Technologies, Imaging Systems, Radars & Computer Vision

  • Which kind of sensors provides the most value? How to push hard for cost optimization without comprising safety? Do we need deep learning for sensor fusion? Can radar sensors replace ultra-sonic sensors completely? Which sensors are most suitable for data fusion in close range? Which combinations of sensors will be required for robust machine perception in HAD? To what extent are high-resolution maps required for offering context information for scene understanding?

Autonomous Vehicle Software Architectures, Deep Learning Architectures, Highly Scalable Architectures & AV Platforms

  • How far can vehicle architectures solve the functional safety need for autonomous vehicles? What are the challenges to step from fail-safe to fail-operational architectures as a foundation of machine learning systems in autonomous vehicles? What is the case for a flexible fusion architecture? How to understand the system architecture for automated driving and scale-up system architectures? What are the challenges in the development and testing of fail-operational automated driving architectures? What are the newest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles?

V2X, V2V & Connected Vehicle Technologies

  • How can we leverage V2V and V2Cloud communications to automate trucks? What can we learn from this for autonomous passenger vehicles? How will 5G drive and accelerate the development of autonomous vehicles? What new opportunities will 5G create for autonomous driving? What current challenges on the road to level 5 could 5G resolve? What information could now be transferred through V2V with the support of 5G and how can it be used in the processing of data collection from machine learning, sensors etc?

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