Electric inductance sensor-based path recognition for the highly configurable path tracking of service robot

Yang, Jeong Yean; Kwon, Dong Soo

doi:10.1109/roman.2008.4600702

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…CCD video can get f arthest prospecti ve distance, bu t it is easily i nfluenced by en vironment inte rference, the i nfrared sensor and magnetic sensor can seldom be in fluenced [3]. Sometimes, as t o an intelligent vehicle designed for t ransport of materials in factory, the magnetic sensor is usually used for lane detection because of its stability, but it has high cost and low flexibility [4].…”

Section: Introductionmentioning

confidence: 99%

Design of Intelligent Vehicles Control System based on Photoelectric Detector

Xia¹,

Wang²,

et al. 2011

IJACT

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Given the characteristics of the road information, an intelligent vehicle navigation system based on infrared sensors is developed. Signal collection and processing method are outlined. This paper describes a method cleverly exploiting principles of optics to improve the lane-keeping ability of infrared photoelectric sensors. Considering that the conventional PID can not meet the requirement of motor controls for their real-time character and table lookup based on fuzzy control cannot meet the requirement of steady precision, an improved PID with fuzzy control algorithm is proposed, As a result of test, navigation accuracy is increased by double; dynamic performance and steady precision of the system are both obviously improved by the control algorithm proposed.

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Section: Introductionmentioning

confidence: 99%

Design of Intelligent Vehicles Control System based on Photoelectric Detector

Xia¹,

Wang²,

et al. 2011

IJACT

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Motion control in environmental biorheology using inductance signal processing

Ronczka¹

2016

2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)

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Single infra-red sensor technique for line-tracking autonomous mobile vehicle

Arshad

Misnan

Razak

2011

2011 IEEE 7th International Colloquium on Signal Processing and Its Applications

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Floor-based line-tracking technique is widely implemented for use in many autonomous mobile vehicle applications in the industries such as for transportation of goods within an enclosed warehouse or factories. It is also popular in competition robots. Many line-tracking systems utilize several kinds of discrete sensors such as the reflective infra-red LED, light dependent resistor (LDR), and multi-array inductance. Multiple of these discrete sensors are required to be arranged closed together in front of the vehicle and facing the floor to trace the profile of the line. A minimum of two sensors are required to ensure effectiveness of the line detection algorithm, especially to determine the vehicle's position, either at left or at right with respect to line. This paper proposed a latest idea of using only one discrete sensor for mobile vehicle to detect a line having two colour shades on a white background surface. The results show that single sensor managed to allow the vehicle to maneuver as effectively on the line.

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Electric inductance sensor-based path recognition for the highly configurable path tracking of service robot

Cited by 5 publications

References 8 publications

Design of Intelligent Vehicles Control System based on Photoelectric Detector

Design of Intelligent Vehicles Control System based on Photoelectric Detector

Motion control in environmental biorheology using inductance signal processing

Single infra-red sensor technique for line-tracking autonomous mobile vehicle

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