KEYNOTESThe ADAS & Autonomous Landscape
The future of automotive will be defined by the autonomous vehicle. But how is the autonomous landscape shaping up right now?
- Map out the partnerships that are accelerating AV systems development and changing the face of the automotive industry
- Examine the routes to real world autonomous deployment i.e. first and last mile to understand what opportunities lie in the middle
- Who’s in pole position? Analyse the latest projections for AV deployment to understand who’s winning the race to autonomy
Sam Abuelsamid, Senior Analyst, Navigant ResearchAV Testing - Easy as 1, 2, 3?
Test tracks, crash tests, on the highway. There are now a multitude of test bases for ADAS and self-driving vehicle platforms with each requiring certain parameters to be met.
- Analyse the capabilities of test beds to understand how you can validate your systems in a risk free, real world environment
- Consider how data supplied by a digital simulation can be applied in the design process enabling a more streamlined, cost efficient and efficient application process
- Debate the need for a technical data consortium to share anonymized test data, accelerating the development of safety and reliability of autonomous cars
Amitai Bin-Nun, Vice President, Autonomous Vehicles and Mobility Innovation, SAFE
TBC, American Center for Mobility
INVESTMENTFuelling the Growth of Autonomous Tech.
Investors are capitalizing on the opportunities presented by autonomous vehicle development.
- Get inside the mind of an investor to understand where they believe AV development is heading and what opportunities lay on the horizon
- Determine the role start-ups should play in your ADAS/AV strategy, whether its filling a gap e.g. tech, skilled resources or bringing new concepts to the table
- Understand where investors are looking to put their money in 2018 and beyond to understand where the financial growth area are
Chris Thomas, Partner, Fontinalis Partners
Olaf Sakkers, Partner, Maniv Mobility
Marc Weiser, Managing Director, RPM VenturesStart-Up Panel
Hear from a batch of the latest, innovative start-ups focussing on ADAS & AV development. This is you chance to hear from the newest teams in the race to autonomy!
Edwin Olson, CEO, May Mobility
More Start-Ups TBA
CONNECTIVITYConnectivity’s New Home - The Autonomous Vehicle
Connectivity has provided a host of new features in vehicles, buts it’s fair to say it has not been a necessary component. But that all changes with the autonomous vehicle.
- Consider how best to collect and collate AV data e.g. computational partitioning, embedded processor to understand how to deal with the petabytes of data AVs will generate
- Examine how connectivity can enhance the capabilities of autonomous hardware e.g. enhanced sensor range and fusing with V2V data for vastly improved safety capabilities
- Debate whether AVs will always have to be connected or if limitations will strike the balance between security and functionality
Lee Barnes, Director Connected & Autonomous Business, Ricardo
Oliver Rumpf-Steppat, Head of Product Requirements, Development and Connected Drive, BMWConnecting AVs to X
The autonomous vehicle will need to talk with its entire environment but, with a multitude of approaches, just how this will happen is yet to be determined.
- Assess how to enhance position accuracy e.g. accurate satellite positioning, to enable robust, deployable V2X systems
- Understand the merits of the spectrums e.g. 5g, DSRC, pWLAN that will play a role in maintaining a constant connection to the autonomous vehicle
- Consider what investments in infrastructure e.g. smart highways, cloud data hosting local authorities, cities , states and federal government need to make to enable full V2X coverage
Roger Berg, VP R&D, Denso
Aravind Kailas, Principal Technology Planner, Volvo
AUTOMATED MOBILITYIBM Watson Presentation
Details coming soon.
Speaker TBC, IBM WatsonAutomated Mobility - The Great Autonomous Use Case
Mobility solutions will be the first opportunity for the masses to truly utilize the autonomous vehicle. But what can be done to expedite a fully Autonomous Mobility on Demand (AMoD) service.
- Take a look at existing AMoD pilots from across the globe to what challenges need to be overcome for full real world deployment
- Get to grips with just what autonomous vehicle data, e.g. traffic a mobility service can provide for real world validation autonomous systems
- Examine what technology needs to be added into an automated shared vehicle e.g. spatially-localized que systems, highly accurized GPS and localized to provide a fully AMoD service
Christopher Heiser, CEO, Renovo.auto
Robert Grant, Senior Director, Government Relations, North America, Lyft
Andy Rogers, VP of Business Development and Sales, Navya
HUMAN FACTORSConsumer in the Loop
Much focus has centred on autonomous vehicle technology feasibility, advancements, and time to market introduction, but are consumers on the same page?
- Understand the consumer sentiment for ADAS and autonomous technologies to understand exactly what consumer’s misgivings are
- Determine the steps that can be incorporated now e.g. public demonstrations to influence autonomous vehicle adoption
- Leverage the UX lessons learned from past technologies e.g. mobile devices to take lessons on just how to apply consumer centric design methods to AVs
Kristin Kolodge, Executive Director of HMI and Driver Interaction, J.D. PowerTrust in Me (your Autonomous vehicle)
Getting the consumer to trust in autonomous systems is still a major challenge and recent high profile AV incidents have not helped to galvanise trust. Change that now!
- Provide advice but leave the driver in charge – strategize just how to avoid driver complacency through limiting driver reliance on alertness systems
- Understand the psychological aspects of trust in relation to human/machine interaction to inform the development and human centred design of driver engagement systems
- Examine how to maintain driving skill, wakefulness, or attentiveness through simplification and periodic interaction with systems
Alex Epstein, Senior Director, Digital Strategy and Content, National Safety Council
Grayson Brulte, Co-chair, Mayors Autonomous Vehicle Task Force, City of Beverly Hills
ARCHITECTUREArchitecting the Autonomous Vehicle
The beating heart of the autonomous car will no longer be the engine but processors and algorithms.
- Understand the software foundation needed to consolidate separate functional modules on new multi-core processors, reducing complexity and manufacturing expense
- Consider how to create a failsafe AV operating system through the application of a suite of co-existing operating systems e.g. Linux, iOS synced through middleware software
- Learn how you can apply complex algorithms to negate the shortcomings of AV hardware i.e. sensor limitations in poor weather
Jack Weast, Chief architect for Autonomous Driving solutions, Intel
Damien Scott, Chief Commercial Officer, Renovo.auto
Wei Luo, COO, Head of Product, DeepMapThe Great Sensor Debate
Developments in sensor technology continue to enhance the vehicle’s ability to perceive its environment. We examine where current developments are leading us.
- Consider the minimum requirements, in terms of redundancy and functionality, for your sensor suite so you can create a cost effective sensor portfolio
- Outline the pros and cons of smart and dumb sensors to outline what combination would work best for your fusions strategy
- Analyse how applying perception data to HD mapping will enable highly accurized localization and accelerate the development of SLAM systems
Radovan Miucic, Senior Intelligent Vehicle Engineer, Changan US R&D Center, Inc.Photonic technologies for LIDAR in autonomous and ADAS applications
LIDAR technologies are becoming the key enabler in the fusion of sensors needed to achieve higher levels of autonomous control (levels 4/5).
- Analyse the attributes of the various mechanical and solid-state LIDAR designs now on the market to ascertain which system meet both you fiscal and operational needs
- Consider the trade-offs for LIDAR vs. competing sensor technologies (camera, radar, and ultrasonic) that re-enforce the need for sensor fusion
- Assess the guidelines for selecting photonic components such as photodetectors, light sources, and MEMS mirrors to ensure you have the optimal component suite in your LIDAR system
Jake Li, Market Specialist (SiPM & Automotive LiDAR), HamamatsuDrive Safe, Whatever the Weather!
It’s a critical time to engage the industry on the impact of poor weather on driver ability so practical solutions can be developed before embarrassing ADAS failures occur.
- Discuss how on road weather data can be utilized by AV developers and insurers to model terrain, weather and traffic, thus reducing the incidences of crashes and enhance safety
- Learn how to use autonomous vehicle sensor data (LIDAR, radar, IR, etc.) to diagnose near vehicle environment (pavement condition, visibility, precipitation, etc.).
- Examine how emerging technologies such as the Vehicle Data Translator and Pikalert to support ADAS development and operations via enhanced environmental categorization
Bill Mahoney, Interim Director Research Applications Laboratory, National Center for Atmospheric Research