Agenda: MathWorks Automotive Conference 2019, April 30, Plymouth, MI - MATLAB & Simulink

Agenda

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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
Time
Session Title
8:00 a.m.
Registration in Grande Ballroom Lobby and Continental Breakfast in Garden Gallery
General Sessions - Grande Ballroom
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
9:05 a.m.
A Keynote: A Look to the Future with Model-Based Design
9:30 a.m.
A Building Battery State-of-Health Estimation Pipelines for Electrified Vehicles
9:55 a.m.
Break and Technology Showcase
10:25 a.m.
A Simulink for Adaptive AUTOSAR
10:45 a.m.
System Simulation for Robust Calibration and Diagnostics
11:10 a.m.
Stretch and Move
ADAS and Automated Driving - Grande Ballroom
AI in Engineering - Judea Ballroom
Full Vehicle Simulation - Galilee Ballroom
11:15 a.m.
B What’s New in MATLAB and Simulink for ADAS and Automated Driving
C Tackling Fleet Test Data with MATLAB
D Full Vehicle Simulation for Electrified Powertrain Selection
12:00 p.m.
Lunch and Technology Showcase
Women in Technology Ignite Lunch
General Sessions - Grande Ballroom
1:30 p.m.
E On the Road to Autonomous Systems and Autonomous Driving
1:55 p.m.
E Planning Model Architecture and Modeling Patterns for ISO 26262 Compliance
2:20 p.m.
E Keeping System Documentation Current With the Increasing Pace of Agile Product Development
2:50 p.m.
Break and Technology Showcase
ADAS and Automated Driving - Grande Ballroom
AI in Engineering - Judea Ballroom
Full Vehicle Simulation - Galilee Ballroom
3:20 p.m.
F Evaluating Path Planner and Vehicle Controller for Automated Parking
G Reinforcement Learning: Leveraging Deep Learning for Controls
H Virtual Design of Electrified Powertrain Systems
3:50 p.m.
F Design and Test Decision-Making, Path-Planning, and Control Modules in Traffic Scenarios
G Applying Artificial Intelligence to Product Development
H Objective Drivability Calibration
4:30 p.m.
End of Day