Transcript 48x36 Poster Template - Florida A&M University

Artificial Intelligence Car Retrieval Research
Project
OPTIONAL
LOGO HERE
OPTIONAL
LOGO HERE
Ronald Benson, Tyshun Jones, Sihle Wilson, Jason T. Black, PhD
[email protected], [email protected], [email protected],
[email protected]
Introduction
 Objective
• To create an artificially intelligent
vehicle prototype that can retrieve its
passengers from a location of no
more than one (1) mile away.
Functionalities of Vehicle
 Autonomous Passenger
Retrieval
• The vehicle will be able to leave
its parked location and come to
the driver upon request
 Intelligent Collision Avoidance
• In the event that a crash is
unavoidable, chose to object to
collide with that will preserve
human life.
 Vehicle Model Independence
• Prototype subsystems will be
able to be used in a variety of car
makes and models
 Mobile Platform Independence
• User interface and programming
would be able to be used in
different mobile Operating
Systems
 Infosystem and Cabin Settings
Control
• Give the user control over
window , lights, locks, sun roof,
and other features in the vehicle
Navigational Technologies
Vehicle must be able to make decisions
based on its current location in order
to get it to where it needs to be.
 GPS Navigation - NMEA 0183
(Long Range)
• Satellites and computers to allow
users to be able to determine
latitudinal and longitudinal values of
the receiver.
• Has a six (6) meter accuracy.
 RFID Technology
• Has three(3) components:
antenna, transceiver and
transponder
• If tag is found in vicinity of a
transmitting antenna signal, the tag
first detects the activation signal for
the reader then the reader decodes
the bit stream and the data is then
transferred to a computer system
Decision Making Strategy
Lane Detection
Vehicle Communication
Algorithms are needed to solve
the indeterministic nature
between humans, animals and
inanimate objects.
The vehicle must be able to stay within
its lane on the road it is traveling.
The vehicle must be able to
communicate with its driver’s mobile
device from afar.
Artificial Neural Network
Technology
• Used to teach vehicle the
difference between humans
and animals
• Will also be used to ‘train’
the system how to make
decisions
 Photo Reflectance Sensors
• Can keep car within road lanes by
detecting difference between dark and
light surfaces.
• These sensors are also used in
streetlights.
• Used to improve decision
making when all data about
the environment are not
precise
• Will be used to “choose” the
right object to collide with after
assessing the environment
and situation the vehicle is in
Obstacle Avoidance
The vehicle must be able to detect
objects both living and inanimate so as
to avoid collisions.
 Laser Range Finders
• Can sense objects at distances up
to 80 meters
• Can be used to construct 3-D
image of the environment
Range
• Allows for vehicle to vehicle and
vehicle
to
infrastructure
communication, as well as nonsafety applications such as
multimedia downloads
 3G and 4G networks
Mobile Device Communication
 Fuzzy Logic Technology
Dedicated
Short
Communication(DSRC)
Interface must allow for drivers to
communicate their desire to be picked
up to their vehicles, as well as
commands to control other vehicle
functions.
 Network Communication
• Current cellular phones have built
in access to the internet
• Many current consumer devices
also have internet capabilities
 User Interface
• Uses JAVA 2 Mobile Edition(J2ME)
for platform independence
• User will be able to relay their
desires to their car through a
graphical user interface(GUI)
• GUI designed based Paper
Prototype Usability Study
• Interface could possibly use a
service that allows car to
communicate using same network
as used on users’ cell phones
 WIFI
• Interface inside of vehicle can have
installed wireless card and
communicate with web server using
WIFI hotspots
Vehicle Actuation
 X-by-Wire Systems
• Replace mechanical systems for
steering, brake, and throttle in
automobiles with a system of
sensors and electronic control units.
• Prior research has shown that
manipulation of these systems can
be used to control automobiles.
 In-Vehicle Networks
• Coordinate
communication
between electronic control units
used within vehicles much the same
as a LAN would with a group of
computers.
• Controller Area Network used by
teams in DARPA Urban Challenge to
interface with by-wire systems.
 Stereo Vision
• Mimics human sight through the
use of two(2) cameras
• Images can be segmented to
determine drivable terrain at a
distance further than that of LRF
Future Work
 Update design for navigation in
adverse weather
 Update design for traversing rural
and dirt roads
 Explore possibility of custom training
of car behaviors