This presentation provides a broad view of the SAVES initiatives and technology.

1. © 2018 Robert W. Heath Jr.© 2017, Robert W. Heath
Jr.
Situation
Aware
Vehicular
Engineering
Systems
Professor Robert W. Heath Jr.
UT SAVES Director
www.utsaves.org

2. © 2018 Robert W. Heath Jr.
Bringing transportation and wireless together
2
Deep industry
connections
Renowned wireless
expertise
50 years of experience
on transportation
Strong connection with
transportation
administrations
+
Unique combination of expertise
in wireless, signal processing, data
analytics and transportation
research, not found in other
vehicular initiatives
Industrial
Affiliates
Honda R&D Americas
Collaboration has led to the D-STOP center, several collaborative TX-DOT
projects, and UT SAVES

3. © 2018 Robert W. Heath Jr.
UT SAVES: Situation-AwareVehicular Engineering Systems
3
SENSING
Fusing sensor data, discovering the
relevance of data to safety, traffic,
management
COMMUNICATION
Communicating high rate sensor
data, using sensing to make
communication more efficient
Exchanging processed data, enhancing
automated driving
Honda R&D Americas
ANALYTICS
UT
SAVES

4. © 2018 Robert W. Heath Jr.
Benefits of becoming a SAVES member company
4
WNCG membership
SAVES membership
9-month GRA
1 graduate research assistant
with the base membership,
more possible
First access to the results of 10+ GRAs
2x/yr reports that summarize SAVES activities
and group research review presentations
D-STOP advisory board
CAR-STOP
experimental facilities
Exposure to industry trends in wireless, sensing
and data analytics
Leverages deep expertise by UT faculty and students
in areas such as 5G cellular communication and radar
sensing
Individual conference calls and status
updates for each project

5. © 2018 Robert W. Heath Jr.
UT SAVES research highlights
5
MmWave using
position information
Commun. with low
resolution ADCs
Cooperative
mapmaking for ADAS
Multi-homed multilane
V2V networking
Sensor-aided PHY /
MAC for 64GHzV2V
Prototyp.
mmWave
forV2X
Using 5G for ADAS
Honda R&D Americas
Radar with low
resolution ADCs
Machine learning-
based beam tracking
Radar for sensing and
communication
+3rd on collaborative sensing

6. © 2018 Robert W. Heath Jr.
Where is SAVES headed?
6
More collaboration in
projects between different
affiliates.Two affiliates co-fund
two projects?
Larger collaborative projects:
SLAM for joint communication,
localization and positioning,
collaborative radar
Kestrel AT&T collaboration
with testbeds and data,
including driver assist and
automated driving
Taking SAVES
to the skies

7. © 2018 Robert W. Heath Jr.© 2017 Robert W. Heath Jr. & Nuria González-Prelcic
7
Thank you!
www.utsaves.org

8. © 2018 Robert W. Heath Jr.
8

9. © 2018 Robert W. Heath Jr.© 2017 Robert W. Heath Jr. & Nuria González-Prelcic
9
Backup materials
www.utsaves.org

10. © 2018 Robert W. Heath Jr.
Experimental capabilities
10
MmWave
communication
prototyping
Phased array
platforms
Three different type vehicles
Area Scan
Cameras
Cohda Wireless
DSRC
Delphi Radar
Quanergy
M8 Lidar
High precision
GPS
RSU
Software-defined radar
Radar target emulator
State of the art
research platform
Sensor fusion for driver assistance Radar signal
processing

11. © 2018 Robert W. Heath Jr.
The Sensiorium: a platform for multi-sensor data collection
Goal: Decimeter-
accurate visual and
radar features
GNSS-INS provides
initial pose and
global reference
Merges globally-
referenced maps
from multiple
sessions
Cooperative fleet
refinement of map

12. © 2018 Robert W. Heath Jr.
Kestrel system
12
Sensorium Network of 5G base stations
demonstrator vehicle are summarised in Table 6. In dangerous situations also sounds and
active feedback are activated in steering wheel and safety belts.
Table 6: Implemented use cases on the CRF demonstrator vehicle.
Normal situation and unintended lane departure
with no side obstacle.
In unintended lane departure situation soft
feedback on the steering wheel is provided.
Exceeding speed limits and drift to side barrier.
In drift to side barrier situation haptic feedback on
the steering wheel and acoustical alarm are
generated.
Vehicle in blind spot (pre-warning and imminent).
Imminent warning is generated when lane drift
occurs with side vehicle and is associated with
haptic feedback on the steering wheel.
Collision with vulnerable road user and rear end
collision (pre-warning and imminent).
Imminent warning is associated with acoustic
alarm and haptic feedback on safety belt.
High speed when approaching a curve (pre-
warning and imminent).
Imminent warning is associated with acoustic
alarm and haptic feedback on safety belt.
49
arrier situation haptic feedback on
eel and acoustical alarm are
spot (pre-warning and imminent).
ng is generated when lane drift
e vehicle and is associated with
on the steering wheel.
ulnerable road user and rear end
arning and imminent).
ng is associated with acoustic
c feedback on safety belt.
en approaching a curve (pre-
minent).
ng is associated with acoustic
c feedback on safety belt.
49
peed limits and drift to side barrier.
e barrier situation haptic feedback on
wheel and acoustical alarm are
ind spot (pre-warning and imminent).
arning is generated when lane drift
side vehicle and is associated with
ack on the steering wheel.
h vulnerable road user and rear end
e-warning and imminent).
arning is associated with acoustic
aptic feedback on safety belt.
when approaching a curve (pre-
imminent).
arning is associated with acoustic
aptic feedback on safety belt.
Kestrel display
Demonstrate value of 5G
V2X for driver assist and full
automation+ UT + partners
SENSING + COMMUNICATION DATA FUSION DISPLAY

13. © 2018 Robert W. Heath Jr.
See-through demo
13
Sensor fusion
High throughput
sensor sharing Cameras Radar
child
See through display
Requires high reliability and availability, a
low latency (a few tens of ms) and a
high data rate to share all relevant data
Status:Topic of senior
design project, no
explicit funding

14. © 2018 Robert W. Heath Jr.
Aerial vehicles
14
Aerial node
Joint positioning and
communication
High data rate
communication for sharing
raw sensing data
PERSONAL
TRANSPORT
PACKAGE
DELIVERY
REAL STATE
SITE SURVEY
Autonomous navigation
without radar/GPS
SENSING + COMMUNICATION in drones enables revolutionary applications
Led by Dr. Nuria Gonzalez Prelcic