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Self-recognition of Vehicle Position Using
UHF Passive RFID Tags
Abstract:
During the past 5 years, the UHF passive RFID technology has been widely
adopted as a direct response to the needs of the supply chain management. When
products affixed with UHF passive RFID tags (“Tag(s)”) are released, they travel from
manufacturing plants to warehouses to retail shops. For supply chain management
operators, it would be of great interest to be able to detect the current location of such
products in real time. In real life applications, since most products are shipped on a
„Global Positioning System (GPS)‟ tracked vehicles, their locations can be readily
identified while they are en route. However, in order to identify the current locations of
such products in an indoor environment, one needs to either manually record their exact
locations or locate the indoor vehicles carrying such products.

Existing System:
Generally, to identify momentary locations of such vehicles, odometer is widely
used. Odometer enables a vehicle to estimate the total distance traveled from a starting
point. However, odometer is often inaccurate since estimation errors accumulate over
time without corrections by external reference signals. Thus, there has been a growing
interest in supplementing odometer to improve localization of mobile vehicles,
particularly by using Tags.

Proposed System:
This paper proposes a method that enables self-recognition of a mobile vehicle‟s
current position by utilizing High Frequency passive radio frequency identification
(RFID) tags. In particular, the proposed method makes use of RFID readers with identical
emission configuration attached to a vehicle to identify a reference RFID tag. The RFID
tags are patched in floor and the robot has the RFID reader connected to it. Whenever the
RFID reader nears a tag, it reads the data from the tag. The position coordinate of the tag
is previously stored in the microcontroller. According to the data received from tag,
position coordinate is estimated. Thus, we can control the robot using the RF
communication with keypad interfaced to it. Estimated position is sent to the control
section through Zigbee and displayed in the LCD.

Block Diagram:
Robot Section:

Power supply

RFID Tag‟s

RFID Reader

AT89C51

Decoder

RF Receiver

Microcontroller
MAX232
Motor
Driver

Motor
Driver

Robot
Mechanism
Control Section:

Power supply

AT89C51

LCD

Microcontroller
RF Transmitter

Encoder

Hardware Requirements:
 8051Microcontroller
 RF Transmitter & Receiver
 Zigbee Transceiver
 RFID Reader
 LCD & Keypad
 Robot Mechanism

Software Requirements:
 Keil Compiler
 Embedded C
Advantages:
 The robot can be controlled from remote areas without using GPS receiver.
 It can able to obtain the position of the mobile robot without any constraint from
the environment.

Applications:
 The proposed method can be used in real-industry environments such as complex
storage warehouses where many different goods are dispersed throughout a wide
area.

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Self recognition of vehicle position using uhf passive rfid tags

  • 1. Self-recognition of Vehicle Position Using UHF Passive RFID Tags Abstract: During the past 5 years, the UHF passive RFID technology has been widely adopted as a direct response to the needs of the supply chain management. When products affixed with UHF passive RFID tags (“Tag(s)”) are released, they travel from manufacturing plants to warehouses to retail shops. For supply chain management operators, it would be of great interest to be able to detect the current location of such products in real time. In real life applications, since most products are shipped on a „Global Positioning System (GPS)‟ tracked vehicles, their locations can be readily identified while they are en route. However, in order to identify the current locations of such products in an indoor environment, one needs to either manually record their exact locations or locate the indoor vehicles carrying such products. Existing System: Generally, to identify momentary locations of such vehicles, odometer is widely used. Odometer enables a vehicle to estimate the total distance traveled from a starting point. However, odometer is often inaccurate since estimation errors accumulate over time without corrections by external reference signals. Thus, there has been a growing interest in supplementing odometer to improve localization of mobile vehicles, particularly by using Tags. Proposed System: This paper proposes a method that enables self-recognition of a mobile vehicle‟s current position by utilizing High Frequency passive radio frequency identification (RFID) tags. In particular, the proposed method makes use of RFID readers with identical emission configuration attached to a vehicle to identify a reference RFID tag. The RFID tags are patched in floor and the robot has the RFID reader connected to it. Whenever the RFID reader nears a tag, it reads the data from the tag. The position coordinate of the tag is previously stored in the microcontroller. According to the data received from tag, position coordinate is estimated. Thus, we can control the robot using the RF
  • 2. communication with keypad interfaced to it. Estimated position is sent to the control section through Zigbee and displayed in the LCD. Block Diagram: Robot Section: Power supply RFID Tag‟s RFID Reader AT89C51 Decoder RF Receiver Microcontroller MAX232 Motor Driver Motor Driver Robot Mechanism
  • 3. Control Section: Power supply AT89C51 LCD Microcontroller RF Transmitter Encoder Hardware Requirements:  8051Microcontroller  RF Transmitter & Receiver  Zigbee Transceiver  RFID Reader  LCD & Keypad  Robot Mechanism Software Requirements:  Keil Compiler  Embedded C
  • 4. Advantages:  The robot can be controlled from remote areas without using GPS receiver.  It can able to obtain the position of the mobile robot without any constraint from the environment. Applications:  The proposed method can be used in real-industry environments such as complex storage warehouses where many different goods are dispersed throughout a wide area.