Published December 20, 2013 | Version v1
Journal article

A Fusion of Sensors Information for Autonomous Driving Control of an Electric Vehicle (EV)

  • 1. Advanced Computing and Sustainable Research Group, Universiti Malaysia Perlis (Malaysia)
  • 2. Center of Excellence UAS (Malaysia)

Description

The study uses the environment of the road as input variables for the main system to control steering wheel, brake and acceleration pedals. A camera is installed on the roof of the Electric Vehicles (EV) and is used to obtain image information of the road. On the other hand, users or drivers do not have to directly contact with the main system because it will autonomously control the devices by using fuzzy information of the road conditions. A fuzzy information means in the preliminary experiments, reasoning of the various environments will be done by using fuzzy approach. At the end of the study, several existing algorithms for controlling motors and image processing technique could be combined into an algorithm that could be used to move EV without assist from human

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/53/1/012025

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
53
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
5. international conference on mechatronics
Acronym
ICOM'13
Dates
2-4 Jul 2013
Place
Kuala Lumpur (Malaysia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47046733
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; CONTROL; FUZZY LOGIC; IMAGE PROCESSING; INFORMATION; MOTORS; SENSORS; VEHICLES
Descriptors DEC
ENGINES; MATHEMATICAL LOGIC; PROCESSING