Finding a Parked Car Location in a Multi-Storey Building without GPS Service

Fathy, Heba; Elbasiony, Reda; Faheem, Mohamed T.

doi:10.3991/ijim.v14i10.14385

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…In the project developed by [11], a system is created that interacts directly with the user through an Android application that records the information obtained by the existing sensors in the cell phone: accelerometer, gyroscope, magnetometer, barometer and orientation sensors. After the user starts recording in the developed application, the generation of the map will start, which will record the user's entire journey and at the end it will indicate the return path to the user, but along the same path that the user took during the entire stay in the environment.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Indoor Parking: Architecture of a New Approach to Parking and Vehicle Location

Neto¹,

Lepikson²

2020

Blucher Engineering Proceedings

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The location of spaces in large parking lots, as well as the vehicle parked when returning, have always been problems for users. There are already solutions for open parking, thanks to GPS and mobile communication. However, this is still an unsolved problem when it comes to indoor parking. This study aimed to identify how the architectures of intelligent parking systems are being built for covered environments. Search was carried out in the literature review, with careful evaluation regarding the relevance and the technologies used in the construction of those systems. Thus, it was possible to analyze the architectures proposed in the related works were analyzed and indicate a new architecture based on the existing gaps.

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Section: Discussion and Resultsmentioning

confidence: 99%

Indoor Parking: Architecture of a New Approach to Parking and Vehicle Location

Neto¹,

Lepikson²

2020

Blucher Engineering Proceedings

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“…This solution provides the most accurate result, but it is not an option for a mobile phone based indoor navigation system. A simple example scenario for motion analysis is finding a car in a parking lot, described in [2]. It proposes to use the inertial sensor data with a Kalman filter to estimate the user's trajectory and for request it can be played back in reverse order to guide the user back to the originated place.…”

Section: Related Workmentioning

confidence: 99%

Convolutional neural network-based activity monitoring for indoor localization

Árvai

2021

Pollack

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Location specific services are widely used in outdoor environment and their indoor counterpart is gaining more popularity as well. There is no standardized technology exists for indoor localization, usually smart phone is used as a localization platform and the field strength of an existing radio frequency infrastructure is used as the location specific information. Smart devices are also equipped with several sensors capable of capturing the motion data of the device. Detecting the walking step, turn, stairs motion type can refine the indoor position using digital indoor map as a reference. The real-time recognition of the motion type is possible with a precisely constructed and trained convolutional neural network and therefore it can improve the stability of the localization.

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“…There are many distinct technologies were applied to control vehicles, especially when they have been hijacked. Some of the technologies are alarming system, IoT, password security, Arduino, face reorganization, GPS, deep learning, Cloud Computing, RF communication, Radio-Frequency Identification (RFID) and so forth as in [4][5][6][7][8][9][10][11][12][13][14]. Each technology technique is suitable with its function but in some system, Internet accessibility is need continuously.…”

Section: Related Workmentioning

confidence: 99%

Development of a Secured Vehicle Spot Detection System Using GSM

Hussein

Aissa

Mohamed

et al. 2021

Int. J. Interact. Mob. Technol.

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The number of vehicles stolen is increasing annually. The alarm system for vehicles is commonly used to expose the burglars publicly to make a scene. If the vehicle owner is far away, it will be hard to distinguish the threat to the vehicle from the intruder. To deter such crime, there should be a safer protection mechanism for vehicles around the globe. Moreover, overcrowd parking lot problems have always been an issue. Nevertheless, it became even worse with the progressing urbanization and population expansion. Anyone may have experienced that moment of panic when you realize you have no idea where you parked your vehicle. Note that, the keyless remote control of vehicles has a short-range radio transmitter. It usually can reach up 5–20 meters. Therefore, this paper develops a proposed system that is used for detecting vehicle location using Global System for Mobile Communications (GSM). It is basically capable to switch ON and OFF vehicle alarm system to detect the location of the vehicle in a crowded area. PIC microcontroller that has been embedded in the system programmed using C language. The intelligent proposed system also designs to enhance the security feature for the transportation era. The proposed system offers better service and cost-effective for the vehicle owners.

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Finding a Parked Car Location in a Multi-Storey Building without GPS Service

Cited by 4 publications

References 24 publications

Indoor Parking: Architecture of a New Approach to Parking and Vehicle Location

Indoor Parking: Architecture of a New Approach to Parking and Vehicle Location

Convolutional neural network-based activity monitoring for indoor localization

Development of a Secured Vehicle Spot Detection System Using GSM

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