Automotive Conference 2019

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Agenda

Tracks

A General Sessions - Grande Ballroom

B ADAS and Automated Driving - Grande Ballroom

C AI in Engineering - Judea Ballroom

D Full Vehicle Simulation - Galilee Ballroom

E General Sessions - Grande Ballroom

F ADAS and Automated Driving - Grande Ballroom

G AI in Engineering - Judea Ballroom

H Full Vehicle Simulation - Galilee Ballroom

8:00 a.m.
Registration in Grande Ballroom Lobby and Continental Breakfast in Garden Gallery
8:30 a.m.
A
Welcome and Introduction
8:40 a.m.
A
Keynote: Transforming Software Development for Future Autonomous, Electrified, and Connected Commercial Vehicles Micha Muenzenmay and Mouham Tanimou, Robert Bosch
9:05 a.m.
A
Keynote: A Look to the Future with Model-Based Design Andy Grace, MathWorks
9:30 a.m.
A
Building Battery State-of-Health Estimation Pipelines for Electrified Vehicles Nilesh Kulkarni, NIO Inc.
9:55 a.m.
Break and Technology Showcase Garden Gallery
10:25 a.m.
A
Simulink for Adaptive AUTOSAR Mark Danielsen, MathWorks
10:45 a.m.
11:10 a.m.
Stretch and Move
11:15 a.m.
B
What’s New in MATLAB and Simulink for ADAS and Automated Driving Mark Corless, MathWorks
C
Tackling Fleet Test Data with MATLAB Will Wilson, MathWorks
D
Full Vehicle Simulation for Electrified Powertrain Selection Mike Sasena and Kevin Oshiro, MathWorks
12:00 p.m.
Lunch and Technology Showcase Hot lunch buffet and express lunch boxes in Atrium (lower level). Dessert and coffee in Garden Gallery.
Women in Technology Ignite Lunch Wisdom (lower level)
1:30 p.m.
E
On the Road to Autonomous Systems and Autonomous Driving Kamran Turkoglu, NIO Inc.
1:55 p.m.
E
Planning Model Architecture and Modeling Patterns for ISO 26262 Compliance Jason Moore, MathWorks
2:20 p.m.
E
Keeping System Documentation Current With the Increasing Pace of Agile Product Development Bharath Sundar and Jim Allen, Delphi Technologies
2:50 p.m.
Break and Technology Showcase Garden Gallery
3:20 p.m.
F
Evaluating Path Planner and Vehicle Controller for Automated Parking Shusen Zhang, MathWorks
G
Reinforcement Learning: Leveraging Deep Learning for Controls Aditya Baru, MathWorks
H
Virtual Design of Electrified Powertrain Systems Javier Gazzarri and Dakai Hu, MathWorks
3:50 p.m.
F
Design and Test Decision-Making, Path-Planning, and Control Modules in Traffic Scenarios Seo-Wook Park, MathWorks
G
Applying Artificial Intelligence to Product Development Arvind Jayaraman, MathWorks
H
Objective Drivability Calibration Jason Rodgers, MathWorks
4:30 p.m.
End of Day