Momentum - October 2019 - 3

BRIEFS
REMOTE GUIDANCE FOR TEXAS A&M
SHUTTLES
Texas A&M University is
the first organization
to use Designated
Driver's teleoperation
technology on public
Image credit:
roads - effectively
Designated Driver
putting a human
Four-way intersections and stops were
behind the wheel
the most common scenarios where the
of the university's
safety driver needs to intervene.
autonomous vehicle
(AV) fleet. The technology will provide remote human
guidance to the Texas A&M AV shuttles operating
downtown in nearby Bryan, Texas. The first use case:
overriding the shuttles' autonomy at four-way intersections.
"Among our most important observations over the past six
months, we found that four-way intersections and stops
were the most common scenarios where our safety driver
had to intervene. Designated Driver's technology provides
both remote driving and remote assistance - ideal for
easily and safely guiding a vehicle through an intersection,"
says Dr. Srikanth Saripalli, an associate professor in the
J. Mike Walker '66 Department of Mechanical Engineering
at Texas A&M, who has overseen the shuttle project since
its inception in October 2018.

SIMULATOR FOR AV AND ADAS RESEARCH
Simulator researchers
at Germany's
Kempten University
of Applied Sciences
are embarking this
year on autonomous
vehicle (AV) and
Germany's Kempten University Adrive
Living Lab will feature the latest aVDS
advanced driverassist system (ADAS) driving simulator to research ADAS
stress levels.
programs that will
include investigation
of the safest ways to achieve hand-over of a vehicle
when control is returned to a human driver. To do
so, it is installing an AB Dynamics advanced Vehicle
Driving Simulator (aVDS) that will help measure driver
stress levels if the vehicle is not capable of performing
a particular maneuver. The aVDS has been designed
to provide high-level R&D capabilities specifically for
autonomous systems. The university has established its
Adrive Living Lab with the third-generation simulator
helping to facilitate the study of the driver's interaction
with autonomous systems and their effect on drivers'
perceived safety and comfort. Because a steering rack
has many nonlinear components that can be difficult
to model, the university plans to use the simulator's
architecture for mounting of a real car steering system
on the platform.
MOMENTUM

CATALYST DESIGN VIA MACHINE LEARNING
Image credit:
Researchers from Penn State and
Michael Janik/Jamie Oberdick
Carnegie Mellon University (CMU) have
received a $1.2 million grant from the
United States Department of Energy
(DOE) to use machine learning-a
form of artificial intelligence-and
Intermetallic
Alloy
data science to design more effective
catalysts for chemical processing.
Atoms in an intermetallic are
A catalyst is a stable chemical
precisely arranged, as opposed
substance that, when added to a
to a metal alloy's random
chemical reaction, increases the rate of
arrangement of atoms. This
enables researchers to arrange
reaction without becoming part of the
the intermetallic's atoms to create
reaction. "It is important to recognize
custom catalysts that match
how widespread the use of catalysts is,"
specific reactions. 
said Michael Janik, Penn State professor
of chemical engineering and principal
investigator for the study. "About 90% of chemical products people are
using every day, like gasoline and fine chemicals that are in shampoo,
are going through some sort of catalytic process before they're used."
The study will focus on creating intermetallic catalysts. Intermetallics
are compounds with two or more different types of metal atoms that
are precisely arranged in a repeating pattern. This arrangement is
different than the composition of a metal alloy, where the two metals'
atoms are randomly arranged.

HIGHLY CAPABLE ROBOTS
This summer, Georgia
Photo credit: RoboJackets
Tech's competitive
robotics organization,
RoboJackets, had the
best performance in team
history, winning the Dr.
William G. Agnew Award
for first place in the design
competition and the Paul
Lescoe Award for third
place overall at the 27th
annual Intelligent Ground
Vehicle Competition
(IGVC) at Oakland
The 2019 RoboJackets team built a unit called Jessii
University in Rochester,
from scratch, working in software, mechanical, and
Mich. The focus of the
competition was to design electrical teams to enhance every aspect of the
technology and design.
and build an autonomous
robot capable of
completing an outdoor obstacle course. The Georgia Tech IGVC team is
primarily focused on developing a software strategy for detecting and
navigating around obstacles, although they also do extensive work on
the chassis and electronics of the robot itself. To support the software
used in the robot's autonomous navigation, the IGVC mechanical team
custom-built a platform for the sensors and other electronics,
including circuit boards to handle motor control and an emergency
stop system for the robot, as well as a system to distribute power to all
necessary components.

October 2019 3


https://www.tamu.edu/ https://www.energy.gov/articles/department-energy-provide-276-million-data-science-research-chemical-and-materials-sciences https://www.designateddriver.ai/ https://www.energy.gov/articles/department-energy-provide-276-million-data-science-research-chemical-and-materials-sciences https://www.designateddriver.ai/ https://www.che.psu.edu/department/directory-detail-g.aspx?q=MJJ13

Momentum - October 2019

Table of Contents for the Digital Edition of Momentum - October 2019

Momentum - October 2019
Contents
EDITORIAL
BRIEFS
STUDENT GENERATION
Getting a grip on costs
75 points
Major redesign
One-on-One – Kaitlyn Baron
It’s all about suspension simulation for Zuura Formula Racing
Engineering the future of two-stroke
Digital suspension keeps cabs stable
Motion sickness meets autonomous adaptable dynamics
SAE 101: Books
Miscellaneous news for SAE Student Members!
Dossier: Justin AndresMooi of Yanfeng Automotive Interiors
Momentum - October 2019 - Momentum - October 2019
Momentum - October 2019 - Cover2
Momentum - October 2019 - Contents
Momentum - October 2019 - EDITORIAL
Momentum - October 2019 - BRIEFS
Momentum - October 2019 - STUDENT GENERATION
Momentum - October 2019 - 5
Momentum - October 2019 - 6
Momentum - October 2019 - Getting a grip on costs
Momentum - October 2019 - 75 points
Momentum - October 2019 - 9
Momentum - October 2019 - Major redesign
Momentum - October 2019 - 11
Momentum - October 2019 - 12
Momentum - October 2019 - One-on-One – Kaitlyn Baron
Momentum - October 2019 - It’s all about suspension simulation for Zuura Formula Racing
Momentum - October 2019 - 15
Momentum - October 2019 - Engineering the future of two-stroke
Momentum - October 2019 - 17
Momentum - October 2019 - Digital suspension keeps cabs stable
Momentum - October 2019 - Motion sickness meets autonomous adaptable dynamics
Momentum - October 2019 - SAE 101: Books
Momentum - October 2019 - Miscellaneous news for SAE Student Members!
Momentum - October 2019 - Dossier: Justin AndresMooi of Yanfeng Automotive Interiors
Momentum - October 2019 - 23
Momentum - October 2019 - 24
Momentum - October 2019 - Cover3
Momentum - October 2019 - Cover4
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