Automatic car parking system with visual indicator along with IoT

Park

et al. 2021

Sci Rep

Dual-functional quantum-dots light emitting diodes (QLEDs) have been fabricated using solution processable vanadium oxide (V2O5) hole injection layer to control the carrier transport behavior. The device shows selectable functionalities of photo-detecting and light-emitting behaviors according to the different operating voltage conditions. The device emitted a bright green light at the wavelength of 536 nm, and with the maximum luminance of 31,668 cd/m2 in a forward bias of 8.6 V. Meanwhile, the device could operate as a photodetector in a reverse bias condition. The device was perfectly turned off in a reverse bias, while an increase of photocurrent was observed during the illumination of 520 nm wavelength light on the device. The interfacial electronic structure of the device prepared with different concentration V2O5 solution was measured in detail using x-ray and ultraviolet photoelectron spectroscopy. Both the highest occupied molecular orbital and the gap state levels were moved closer to the Fermi level, according to increase the concentration of V2O5 solution. The change of gap state position enables to fabricate a dual-functional QLEDs. Therefore, the device could operate both as a photodetector and as a light-emitting diode with different applied bias. The result suggests that QLEDs can be used as a photosensor and as a light-emitting diode for the future display industry.

mentioning

confidence: 99%

Dual-functional quantum-dots light emitting diodes based on solution processable vanadium oxide hole injection layer

Park

et al. 2021

Sci Rep

“…To design an automatic parking system, it should consist of parking space recognition, parking space matching, trajectory generation [ 6 , 7 , 8 ], and vehicle control [ 9 ]. Parking space recognition [ 10 , 11 ] is one of the crucial components for APS, which is commonly realized based on machine vision technique.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State

Piao

Zhang

Chang

et al. 2021

Sensors

The goal of automatic parking system is to accomplish the vehicle parking to the specified space automatically. It mainly includes parking space recognition, parking space matching, and trajectory generation. It has been developed enormously, but it is still a challenging work due to parking space recognition error and trajectory generation for vehicle nonparallel initial state with parking space. In this study, the authors propose multi-sensor information ensemble for parking space recognition and adaptive trajectory generation method, which is also robust to vehicle nonparallel initial state. Both simulation and real vehicle experiments are conducted to prove that the proposed method can improve the automatic parking system performance.

“…Various systems have been developed to provide information about free space for parking, but these systems are either based on hardware sensors or based on nearby View Monitor (AVM). The earlier applicable systems are expensive because they are using more than one camera for each parking slot and using the camera of the fish to identify some empty spaces [1][2][3][4][5][6][7][8]. There are many issues related to the parking area, which are not available to solve any ideal techniques.…”

Section: Introductionmentioning

confidence: 99%

Smart Parking for Slot Occupancy Detection using Prewitt Edge Detection in OpenCV

Singh¹,

Sardar²

2019

IJCA

In the modern era of advanced parking management system, the automatic parking space detection system has been introduced in the new form. This is an emerging area and attracts computer vision researchers to contribute to this field of technology. Proposed system is based on Prewitt Edge Detection method which is able to recognize the occupied and free space parking slots which may reduces the human efforts. In the field of intelligent vehicles and parking management systems, accuracy is often important because human facilities are required. It is necessary to get accurate results at real-time through which an intelligent parking slot or space can be detected which can be implemented with the newly introduced technique. The system is also capable of recognizing that the vehicle has been partially parked, fully parked or wrong parked. There is no need for human surveillance while parking vehicles in real time. The system is capable of classifying vehicles along with humans as well, through which a right decision can be made on a situation where the human or animal has captured the slots. This is a new era of parking management where computer vision plays an important role.