Mapped, Mindful, Connected: Create A Shared Vision Of The Road Map To Autonomous

  • Vision Systems Intelligence, LLC.
  • DENSO CORPORATION
  • Yano Research Institute Ltd.
  • Intel K.K. / Nagoya University
  • Elektrobit
  • Virtual Mechanics Corporation
  • BMW Japan Corp.
  • Softbank
  • Hitachi Automotive Systems, Ltd.
  • WIND RIVER
  • Rapid7 Japan K.K.
  • Renesas
  • Intel
  • KPIT
  • Harman
  • DENSO IT LABORATORY INC
  • OMRON Corporation
  • AIMOTIVE Kft.
  • LeddarTech
  • Bosch Corporation
  • Toyota Motor Corporation
  • HERE
  • SBD
  • Ministry of Economy, Trade and Industry
  • Mitsubishi Motors Corporation

Day 1: Monday, May 15

Registration, Exhibition & Welcome Coffee
ADAS and Autonomous: a Japan and World View

9:00 - 9:30 The Race to Autonomy

Automated vehicle technologies are exploding and are expected to arrive sooner than originally expected. In this session you will learn how the value chain is evolving and what the major issues are surrounding the deployment of automated vehicles.

  • With the rapid acceleration in technology comes unsolved issues that must be dealt with. Learn what the major challenges are such as how AI is applied for automated driving
  • Gain a global perspective of how the value chain is evolving in sensing, behavior and motion domain
  • Get insights on key growth issues such as the changing face of behavior models and how to validate and test automated driving

9:30 - 10:00 Targeting at Automobiles with Confidence & Safety

Discover DENSO’s initiatives  make vehicles safe to achieve zero road accidents

  • Re-establish the case for ADAS and autonomous driving: Based on DENSO’s data grasp the status quo for road traffic accidents and regional idiosyncrasies
  • Revisit the advantages and disadvantages in-built systems – such as laser and camera – and get a clear understanding of development trends and challenges moving forward
  • Aiming for next level quality control: Explore what objects are often misread by certain sensors as shown on DENSO’s test course

10:00 - 10:30 Global Automated Driving System Market Forecast

  • Discover the volume of vehicles that were sold with ADAS capabilities in the last 3 years globally
  • Learn how Global NCAP will affect the short-term (e.g. by 2020) and long-term (e.g. by 2030) forecasts for automated driving system features
  • Assess market growth potential by region and by level of automation and find out the key factors that will allow for greater penetration on automated driving systems
10:30 - 11:00 Coffee Break

11:00 - 11:30 Implications of NHTSA’s Statement

  • Understand the key differences such as the definition of level 3 between the preliminary statement and the latest statement announced by NHTSA
  • Acknowledge the importance of having a discussion with NHTSA to obtain approval from FMVSS to release a new product and service to the market
  • nuTonomy launched a self-driving taxi followed by Uber last year. Examine the recent late one mile business opportunity that allows the company to run a business while shouldering the investment costs

11:30 - 12:00 From Research to Mass Production: Using a Versatile Platform for Developing New HAD Software Functions

  • Understand the way to shorten the production cycle for highly automated vehicles to bring the latest, safest, and most sophisticated technology to the consumer
  • Bridge the technology gap between demonstration and production to increase the efficiency of the development process
  • Explore the high speed and flexible approach which can be used in the overall development cycle from R&D to mass production

12:00 - 12:30 Address the Key Product Validation and Safety Challenges

  • From ADAS to total autonomy: Grasp key trends seen in the US & Europe regarding product safety and validation
  • Explore possible solutions to challenges arising from a vastly increased number of tests and map data for ordinary roads
  • Examine how to tackle growth issues such as lacking map data for simulation and how to teach AI with real-world data or simulation data?
12:30 - 14:00 Lunch
Building Blocks of Automated Systems

14:00 - 14:30 Automated and Connected Mobility for Intelligent Traffic Management

Explore roadmap towards new urban mobility leveraging autonomous driving, connectivity, mobility service and system-of-systems platform

  • Review global urban mobility challenges and learn mobility services and new ecosystems. In this context, explore how intelligent technologies such as driver assistance systems can mitigate challenges and influence these new services by leveraging connectivity
  • Take a look at the latest projects such as BioTope, Traffic Management 2.0 project, to examine BMW's vision of the future mobility
  • Autonomous driving, networked mobility, mobility service and big data management - discover how all those elements will be combined together to establish intelligent solutions

14:30 - 15:00 5G & OneWeb - Required Communication Networks for the Future Car

Understand the benefits of 5G and OneWeb such as better speed and wider coverage to grasp how this will expand business opportunities while leveraging existing technology and latest communication networks

  • Examine the capability of 5G to determine if its speed is good enough to secure the safety of the car and become the communication network standard
  • Global coverage is required for autonomous vehicles. Go deeper in the OneWeb project which utilizes low-earth-orbit satellite
  • Understand SoftBank’s communication network to devise your technology strategy in the ADAS/autonomous arena

15:00 - 15:30 ECU Platforms and the Impact of Real-Time Databases

  • Recap the issues with present embedded databases and understand how an ECU platform can deliver the higher speeds and more efficient data management required for autonomous driving
  • The amount of data to be processed is vast. Explore ways of overcoming challenges, with cloud-based updating as an example
  • Overcoming the hurdles to fully autonomous driving: Discuss issues surrounding application updates and explore what kind of solutions will be required

15:30 - 16:00 The Role of Open Standards in Autonomous Vehicles

  • Learn the difference between open standard and open source and how open standards help accelerate adoption and maturation of autonomous technologies
  • Understand the certification process itself is required to meet the European standard as well as build blocks of automated system
  • Look at business model implications of OEMs and Tier 1s - how OEMs can leverage innovative software providers
16:00 - 16:30 Coffee Break

16:30 - 17:00 Get into the Mind of an Automotive Hacker

  • Offense is the best defense. Understand the approach of hacking from the recent demonstration experiments to find out the available solution which would be more cost-effective
  • Keep pace with the methods and motivations of hackers to understand where cyber security threats exist – something critically important in an ever more connected world with a greater number of entry points
  • Explore ways to secure OTA update and solutions to Public Key Infrastructure issues to provide the long-term support

17:00 - 17:30 Latest Trends for Comprehensive, Long-term Car Security

Threats to car security are increasing. Investigate the roadblocks to implementing secure OTA and other security measures and consider next steps

  • Leverage industry experience: Analyse what kind of threats we should expect and how the number of entry points will increase based on experience in other industries
  • Examine the necessary solutions to securely update vehicle systems via OTA along the full life-cycle of the car
  • Establishing standards for functional safety and information security: Challenge industry consensus regarding the “safe car” which is ready for the mass market

17:30 - 18:15 [Panel] Key ingredients of a safe autonomous car - Discuss how we can secure safety throughout the whole lifecycle of the highly automated vehicle by testing, validating, and cyber-security countermeasures

  • Testing / Validation is a must-do and the discussion about what the most efficient tools and processes would be is ongoing. Examine how we can collect, analyze, and manage environmental and vehicle data
  • Look at case studies to explore possible simulation methods and testing tools in order to achieve mass deployment of highly automated vehicles
  • Discuss how to develop simulate a vast amount of driving scenarios in an unrestricted real-world environment. How important is collaboration? How can we ‘cyber-secure’ the development tools?
Networking Drinks Reception
Register Now!

 

Day 2: Tuesday, May 16

Registration, Exhibition & Welcome Coffee
Perception and Control

9:00 - 9:30 The forefront of Deep Learning for Powering Autonomous Vehicles

ADAS and autonomous vehicles require a higher level of the recognition. Understand Denso IT lab’s latest developments in deep learning technology to improve recognition levels and achieve safer driving

  • Sensing technology is mission critical and can transcend human ability. Get an accurate overview on how AI is currently impacting surrounding environment recognition
  • Understand the application of deep learning technology in taking recognition to the next level -detecting not only that there’s a pedestrian ahead but which direction they’re walking. Explore the impact on car behaviour and control.
  • Explore current challenges and Denso IT Lab’s vision for teaching AI: what data is necessary and how should it be collected?

9:30 - 10:00 Explore AI’s Potential to Detect Drivers’ Condition

  • Find out how far AI research has gone in detecting the driver’s condition to establish the future of HMI
  • Explore the key facts such as information on eyes to decide when and how machines can hand over control to human
  • Consider potential applications and software requirements of applying current AI systems to HMI i.e. Biological sensing technology

10:00 - 10:30 AI Software in Automotive Applications: Status, Benefits and Future Outlook

Could AI qualify as a driver? To find out the answer to that question, explore the developments in AI to make it the reliable technology that takes over the control of the car

  • Compare the benefits and drawbacks of AI in both recognition and motion compared to the conventional technologies
  • Outline the development of camera resolution related to application and impact on AI performance over time
  • Evaluate the AI solution and the hardware solution to meet required performance
10:30 - 11:00 Coffee Break

11:00 - 11:30 Solid-state LiDAR Technology Ready for Mass-Market Implementation

  • Review the current challenges in sensor technologies and examine the differences between current LiDAR technologies – scanning vs solid state – and how they can be implemented
  • Using Leddar Technology as an example, understand how solid-state LiDARs will be able to meet the automotive industry’s high performance requirements as well as the size, cost, and reliability levels expected for mass-market vehicles
  • Technology road map – understand how LiDAR will evolve and its role in moving us toward autonomous driving

11:30 - 12:00 The Way to Highly Automated Driving

  • Understand megatrends changing customer requirements and individual mobility and and roadmap towards automated driving
  • Examine the requirements for future sensor and actuation elements such as redundant steering, braking and stabilization systems
  • Look at use cases of key technologies such as new parking experience which offers OEMs new business opportunities in order to increase the market value and user experience

12:00 - 12:40 [Panel] Perception and Control for Autonomous Vehicles

  • Clarify the strengths and weakness of each sensing technology to find out how much the future sensor can be improved and how big a role should we expect AI to play when we think of the mix of components and mass marketability
  • Discuss how efficiently can surrounding and driver data obtained by sensors be translated into decision and control and how to achieve the seamless transition from automated driving to ACC or manual driving leveraging such data
  • Examine what kind of road environment such as road with no road markings, narrow road, sharp curve can be covered by technology
12:40 - 14:00 Lunch
Mapping the Autonomous Road Ahead

14:00 -14:30 Building the Optimum HMI for Autonomous Driving

  • Examine how the communication between human and machine can be improved to establish the safety and next level of user experience
  • Address the challenges to bolster HMI technology such as agreeing the boundary between where to fight and where to cooperate
  • Dissect Toyota’s HMI concept to map out the impact of such technology to add value to society

14:30 - 15:00 Establish the Blueprint of a Dynamic Map for Automated Vehicles

  • Weigh up the current methods to collect infrastructure information such as camera, radar, and Quasi-zenith satellites to increase efficiency to establish a dynamic map
  • Understand the growth issues and the future vision of high definition maps such as defining the combination of embedded map data and real-time information from infrastructure

15:00 - 15:30 Automated Cars to Automated Roads

  • Maps, infrastructure, sensors, people and services - how smoothly can these be orchestrated? Explore HERE’s current and future plans for its open location platform
  • Examine the way to develop a new business ecosystem and business opportunity that will change the future of automated driving
15:30 - 16:00 Coffee Break

16:00 - 16:30 Mind the Knowledge Gap

  • HMI is the key to gain consumer understanding and trust – learn how ad-hoc ADAS offering often results in inconsistent HMI implementation
  • Devise strategies that will help combat misuse and misinterpretation of ADAS – understand how consumers use and feel about such systems
  • How to pass on correct information to consumers - adopting a holistic approach in development, from training dealers to online guides

16:30 - 17:00 METI's Project towards the Implementation of Automated Driving

  • Autonomous car services have been launched one after another such as Local Motors ‘Olli’ and Uber. Discover what the government can do to make it happen in Japan under the current regulation
  • Dissect the latest experimental projects such as automated driving tests in dedicated areas and remotely controlled autonomous vehicles
  • Examine how we can overcome challenges such as obtaining social acceptance – appealing the benefit of automated driving through localised demonstration
Register Now!

Got a question? Get in touch below!

Shoko Nagai

Shoko Nagai

Project Director
TU-Automotive
+44 (0) 203 869 6722 (Global)
Email: japan@tu-auto.com

2017 Sponsors

Gold Sponsor

  • LeddarTech

Silver Sponsors

  • ai motive
  • EB Elektrobit
  • Virtual-Mechanics-Corporation
  • Wind River

Cyber Security Sponsor

  • HARMAN