Intelligent Parking System Design Using FPGA

Song, Insop; Gowan, Keith; Nery, Jason; Han, Henrick; Sheng, T.-Z.; Li, Howard; Karray, Fakhri

doi:10.1109/fpl.2006.311249

Cited by 14 publications

(7 citation statements)

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“…The fuzzy logic controller, which was developed in previous work [14,15], will be also briefly described.…”

Section: Steering Angle Controlmentioning

confidence: 99%

“…Nine multiplication operations are then needed. Detailed description of the fuzzy logic controller design can be found in [14,15] …”

Section: A Fuzzy Logic Control (Flc)mentioning

confidence: 99%

“…The Intelligent Parking and Wall Following System currently utilizes sensors to measure distances from a wall, parallel to the car, as well as the distances to walls or obstacles to the front and rear of the car. Previously, a fuzzy logic controller was then used for adjusting the car's steering angle [14,15]. This work intends to present the neuro-fuzzy controller and compare its performance to the fuzzy logic based one.…”

Section: Introductionmentioning

confidence: 99%

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Soft computing techniques in intelligent wall following control for a car-like mobile robot

Saleh

Karray

Masmoudi³

2009

2009 3rd International Conference on Signals, Circuits and Systems (SCS)

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In this paper, we present an intelligent wall following system that allows an autonomous car-like mobile robot to perform wall following tasks. Soft computing techniques were used to overcome the need of complex mathematical models that are traditionally used to solve autonomous vehicle related problems. A neuro-fuzzy controller is implemented for this purpose, which is designed for steering angle control, and is implemented with the use of two side sensors that estimate (1) the distance between the vehicle front side and the wall, and (2) the distance between the vehicle back side and the wall. These distances get then inputted to our steering angle controller, which as a result outputs the appropriate weal steering angle. The work in this paper is intended to show a detailed description of the neuro fuzzy controller that overcomes the performance of the previously implemented fuzzy logic based controller, and significantly reduces the trajectory tracking error, but at the expense of using more DSP resources causing a slower throughput time. This autonomous system was realized on an FPGA platform, which has the advantage of making the system response time much faster than software-based systems.

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“…The fuzzy logic controller, which was developed in previous work [14,15], will be also briefly described.…”

Section: Steering Angle Controlmentioning

confidence: 99%

“…Nine multiplication operations are then needed. Detailed description of the fuzzy logic controller design can be found in [14,15] …”

Section: A Fuzzy Logic Control (Flc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Soft computing techniques in intelligent wall following control for a car-like mobile robot

Saleh

Karray

Masmoudi³

2009

2009 3rd International Conference on Signals, Circuits and Systems (SCS)

Self Cite

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“…But instead of comfortable drive, that study presents fast car parking for the drivers. [6] In 2000, J. Xu, G. Chen, and M. Xie proposed a vision guided automatic parking paper named "Vision-guided automatic parking for smart car" in Intelligent Vehicles Symposium. In this system video data needed to find a space and calculate a collision-free parking path.…”

Section: Previous Parking Algorithmsmentioning

confidence: 99%

Autonomous car parking system with various trajectories

Türkmen

Esiyok²,

Kaplan³

et al. 2017

PEN

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“…In studies [7,[28][29][30][31][32][33][34][35][36][37][38][39], numerous automotive vehicle parking systems are designed and modeled according to the time-ongoing requirements of vehicle parking, employing of RFID and wireless sensor networks. For that, sensor devices or sensors mostly comprised into intrusive and the nonintrusive have been employing depending on the constraints, as ubiquitous deployments, such as finance, scalable design area, system reliability, and efficiency, to keep a smart check and balance for the system's usage and processing.…”

Section: Literature Surveymentioning

confidence: 99%

Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System

Shahzad

Choi

Xiong

et al. 2018

Wireless Communications and Mobile Computing

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This study takes an intuitive step to develop the user-convenient smart vehicle parking system (SVPS), a smart system able to manage the massive crowd of vehicles during parking searching and do the better jobs of parking reservation and management, with the shorter-path processing tactics. For that, this study inclusively employed the mapping strategy, where the system parking points are prevalent, to assist the users to get the parking information fast and conveniently. This study is comprised of the several parking points systematically spread over the several locations and traceable over the available graphical map, and the overall information is easily accessible using smart devices. For parking information, a smart web application which is another important module of this study is designed, with which the SVPS system's registered users are able to access all the services provided for smart vehicle parking searching and reservation in efficient and reliable ways. An integrated network approach, RFID (radio frequency identification) and wireless sensors network (WSN), called RF-WSN, is employed to retrieve the real-time information from the installed and configured sensor devices in RFID-WSN network.

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Intelligent Parking System Design Using FPGA

Cited by 14 publications

References 0 publications

Soft computing techniques in intelligent wall following control for a car-like mobile robot

Soft computing techniques in intelligent wall following control for a car-like mobile robot

Autonomous car parking system with various trajectories

Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System

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