Live Chat Software
February 25 - 27, 2019
Hyatt Regency Santa Clara

Agenda Day 2

MAINSTAGE

7:30 am - 8:15 am VENTURE CAPITALIST START UP BREAKFAST

8:00 am - 8:20 am REGISTRATION: Get ready for an action-packed Day Two!

8:00 am - 8:10 am CHAIRPERSON’S WELCOME AND OPENING REMARKS

8:30 am - 10:00 am KEYNOTES

8:30 am - 9:00 am OVERCOMING TECH CHALLENGES TO ACHIEVE AUTONOMOUS DEPLOYMENT IN THE 2020S

• What Are The Roadblocks?
• Integrating With The Existing Infrastructure While Future Proofing
• Developing Necessary Industry Standardization And Regulatory Frameworks

Ganesh Iyer, CIO, NIO

9:00 am - 9:30 am LEVERAGING 5G TECH TO TRANSFER DATA: CHALLENGES AND OPPORTUNITIES

• Developing Data Links To Improve Capability, Limit On-Board Computational Demands, And Access All Available Data
• What Are The Larger Implications For This Level Of Connectivity?
• Understanding And Working Around The Limitations Of 5g Networks

John Jasper, SVP Connected Vehicle Services, Sirius XM

9:30 am - 10:00 am SCALING POWERFUL AV COMPUTING PLATFORMS FOR MASS PRODUCTION

• Creating Commonality Or Uniformity Of Technical Approaches That Drives Commoditization
• Identifying Methods And Work Pathways To Scale New Technologies
• Partnering With Supply Chain To Identify Strategies To Reduce Individual Component Costs

Joel Adams, Director of Engineering & Innovation, Erwin Hymer Group North America, Inc.

10:00 am - 10:45 am COFFEE BREAK: Grab a snack and talk amongst your peers!

TRACK SESSIONS

TRACK 1 - SENSORS, LIDAR, RADAR AND CAMERAS

10:45 am - 11:15 am OPTIMIZING AV REAL-TIME RESPONSE BY COMBINING LEARNING, SENSOR, AND VISION TECH
• Using Deep Learning And Behavioral Cloning
• Determining Algorithm Accuracy Needs By Level Of AV
• Developing Guidelines To Provide Clarity On
• What Data Sensors Need To Capture

TRACK 1 - SENSORS, LIDAR, RADAR AND CAMERAS

11:15 am - 11:45 am AUTOMOTIVE LIDAR CONCEPTS: DESIGN CHALLENGES
• Description and comparison of two main LiDAR designs – time of flight (ToF)
and frequency modulation continuous wave (FMCW)
• Discussion of various challenges of designing an LiDAR system
• Overview of critical opto-electronics components for LiDAR design –
photodetectors, beam steering and light source

Slawomir S. Piatek, Scientific Consultant, Hamamatsu

TRACK 1 - SENSORS, LIDAR, RADAR AND CAMERAS

11:45 am - 12:15 pm DEVELOPING STRONGER SENSING CAPABILITIES FOR AV L5 DEPLOYMENT
• Reducing Sensor Costs When Scaling
• Using Sensor Arrays To Meet The Complexity Challenge
• Capturing Data At Sensing Site For Real-Time Decision-Making And
Response

TRACK 1 - SENSORS, LIDAR, RADAR AND CAMERAS

12:15 pm - 12:45 pm USING INTERNAL AV SENSORS TO MONITOR COMPONENTS PERFORMANCE AND FOR PREDICTIVE MAINTENANCE
• Training AI To Anticipate All Possible Failure Modes And Develop An
Action Plan
• Using Sensors And AI To Track In-Cabin And Engine Air Intake, To Pressure
(Brake HPS, Urea) And Temperature
• Tracking Component Life Cycle To Determine Optimum Replacement Dates

TRACK 2 - DATA ACQUISITION, STORAGE, AND MANAGEMENT

10:45 am - 11:15 am EVOLVING AV AWAY FROM CLOUD CENTRALIZED ARCHITECTURE MODEL TO EDGE COMPUTING
• What Is Edge Computing?
• Learning Without Connecting Back To The Cloud To Process Data
• Running Inferences Directly In The Vehicle

TRACK 2 - DATA ACQUISITION, STORAGE, AND MANAGEMENT

11:15 am - 11:45 am DELIVERING NEW CONNECTED VEHICLE SERVICES THROUGH HIGHLY SECURE CONNECTIVITY FROM V2V, V2X, V2D, AND V2C
• Performing Secure Over-The-Air Software Updates And Data Transfers
• Bringing Concierge And Emergency Service To The Vehicle
• Harvesting And Monetization Of Sensor And Geolocation Data

Radovan Miucic, Senior Intelligent Vehicle Engineer, Changan US R&D
Center, Inc.

TRACK 2 - DATA ACQUISITION, STORAGE, AND MANAGEMENT

11:45 am - 12:15 pm MEETING THE CHALLENGES FOR AV DATA LABELING AND ANNOTATING
• Identifying Different Types Of Annotations Tools With Features To Improve
Labeling Efficiency
• Overcoming The Challenges Of Lack Extensiveness And An Interface For
Consolidation Of Annotations To Facilitate Ml
• Developing More Fine-Grained Recognition Such As Object Localization
And Segmentation

TRACK 2 - DATA ACQUISITION, STORAGE, AND MANAGEMENT

12:15 pm - 12:45 pm DEVELOPING IMPLEMENTATION MODELS FOR AV BIG DATA ANALYTICS
• Identifying Big Data Analytics Applications To Put In Your Implementation
Framework
• How Can Data, Text, Web And Network Analytics Be Analyzed In A
Complimentary Environment?
• Using Enterprise Information Systems (EIS), Automated Self-Tuning (Starfish)
And Churn Prediction Analytics To Build Out Implementation Models

MAINSTAGE

12:45 pm - 1:45 pm LUNCH BREAK: Lunch and learn with the biggest and brightest minds in your community

1:45 pm - 2:15 pm PROTECTING AV TECHNOLOGIES BY PREPARING FOR CYBER ATTACKS

• Moving From Defending Against AV Cyber Attacks To Identifying And Containing Attacks As Quickly As Possible
• Training Systems To Autonomously Take Action, Like Blocking Access To Resources Or Redirecting Traffic, Based On A Predicted Behavior
• Monitoring Network Traffic Data To Find Well-Known Patterns Of Common Adversary Activities, Such As Data Exfiltration Or Beaconing

2:15 pm - 2:45 pm AV’S, AND THE EMERGING HEALTHCARE AND AGING OPPORTUNITY

• How are AV Development and Healthcare Needs Merging
• What form factors and capabilities are required
• How will data and security play a huge role

Tim Woods, General Manager, Autonomous Vehicle Alliance

2:45 pm - 3:15 pm NETWORKING BREAK Enjoy some light snacks and prepare to get back into the last few sessions of the day!

3:15 pm - 3:45 pm PANEL: CREATING FRAMEWORKS TO DEVELOP AV INDUSTRY STANDARDS AND GOVERNMENT REGULATIONS

• Developing Industry Working Groups To Develop Baseline Standards Across The AV Industry
• Working With Regulatory Agencies To Develop Safety Regulations
• Mapping The Industry To Identify And Prioritize Most Pressing Technologies Needing Standardization

Moderator:
Frank Schwartz, Principal, Advanced Automotive Consulting Services
Panelist:
Bert Kaufman, Head of Corporate and Regulatory Affairs, Zoox    

3:45 pm - 4:15 pm MANAGING DRIVER TRUST / OVERTRUST WITH THE STATUS OF AUTONOMOUS AND MANUAL CLEARLY WHEN VEHICLE IS MULTIMODAL

• Keeping Driver Engaged In L4 By Solving Additional Tasks, Like Interacting With The Navigation Device Or Driving Performance Related Social Networks
• Tracking Driver Health While Acting As System Monitor
• Developing UI For Drivers To “Check In”

Amitai Bin-Nun, VP for Autonomous Vehicles and Mobility Innovation, SAFE Autonomous Vehicle Initiative