AdaBoost for Parking Lot Occupation Detection

Fusek, Radovan; Mozdřeň, Karel; Šurkala, Milan; Sojka, Eduard

doi:10.1007/978-3-319-00969-8_67

Cited by 13 publications

(10 citation statements)

References 6 publications

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“…According to our experiments, the standard HOG feature descriptor is not able to adequately describe differently rotated vehicles and produces a high number of false positives. Our findings are supported by work of Fusek et al, [ 17 ], where authors report less than 44% accuracy of the HOG based detector. Thus, reasonably use the HOG descriptor requires describing the relative position of the car and the camera.…”

Section: Methodssupporting

confidence: 91%

“…Their paper refers to following accuracy: UFPR04—99%, UFPR05—84%, PUCPR—84%. Fusek et al, [ 17 ] refer accuracy of HOG based detector 44% and accuracy of the detector based on AdaBoost 94%. Our method, trained on our custom dataset, reached an accuracy of 96% on UFPR04, 83% on UFPR05 and 94% on PUCPR.…”

Section: Validation Of the Resultsmentioning

confidence: 99%

“…In addition to the descriptors already mentioned, there are works employing wavelet transform [ 11 ], scale-invariant feature transform (SIFT) [ 12 ], histogram of oriented gradients (HOG) [ 13 , 14 ], integral channel features [ 15 ], or Hue histogram descriptor [ 16 ]. Fusek et al, used AdaBoost based algorithm and also compared such approach with HOG descriptor [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

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A Distributed Wireless Camera System for the Management of Parking Spaces

Vítek

Melničuk

2017

Sensors

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The importance of detection of parking space availability is still growing, particularly in major cities. This paper deals with the design of a distributed wireless camera system for the management of parking spaces, which can determine occupancy of the parking space based on the information from multiple cameras. The proposed system uses small camera modules based on Raspberry Pi Zero and computationally efficient algorithm for the occupancy detection based on the histogram of oriented gradients (HOG) feature descriptor and support vector machine (SVM) classifier. We have included information about the orientation of the vehicle as a supporting feature, which has enabled us to achieve better accuracy. The described solution can deliver occupancy information at the rate of 10 parking spaces per second with more than 90% accuracy in a wide range of conditions. Reliability of the implemented algorithm is evaluated with three different test sets which altogether contain over 700,000 samples of parking spaces.

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Section: Methodssupporting

confidence: 91%

Section: Validation Of the Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Distributed Wireless Camera System for the Management of Parking Spaces

Vítek

Melničuk

2017

Sensors

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“…Another line of work makes use of ultrasonic sensors already available in some passenger vehicles to detect the state of occupancy of parking spots adjacent to the vehicle [4,8,25,44]. Yet another line of work employs techniques from image processing to determine the occupancy of parking spaces based on image data collected from various sources [5,9,12,16,17,31,34,35,39]. Yet other solutions have been proposed based on crowd-sourcing data from smartphones [40], GPS [26], and payments [32,41,42].…”

Section: Related Work 21 Parking Sensorsmentioning

confidence: 99%

Hard to Park?

Arora

Cook

Kumar

et al. 2019

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &Amp; Data Mining

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In this paper we consider the problem of estimating the difficulty of parking at a particular time and place; this problem is a critical sub-component for any system providing parking assistance to users. We describe an approach to this problem that is currently in production in Google Maps, providing inferences in cities across the world. We present a wide range of features intended to capture different aspects of parking difficulty and study their effectiveness both alone and in combination. We also evaluate various model architectures for the prediction problem. Finally, we present challenges faced in estimating parking difficulty in different regions of the world, and the approaches we have taken to address them.

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“…-The availability of car parking spots in real time is exactly determined thanks to the establishment of Internet-of-Things tools (sensors, image processing) [25].…”

Section: Improve the Probability Of Finding An Available Parking Spotmentioning

confidence: 99%

An architecture of an interactive multimodal urban mobility system

Moufid

Nadir

Benhadou

et al. 2019

Int. J. Simul. Multidisci. Des. Optim.

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Throughout the world and particularly in urban areas, population growth can be listed as a direct cause of the uprising use of personal vehicles in cities around the world. Such attitude may lead to dramatic consequences, not only economically, but socially and environmentally. To meet these challenges, and to promote the use of multiple means of public transports by citizens, public authorities and transport operators seek − within the framework of the implementation of connected cities projects and intelligent − to optimize the extraction as well as the exploitation of the multimodal information by developing Interactive Systems of Assistance to the Multimodal Movement (IAMM). However, finding the optimal multimodal path for a given person is far from being a simple matter. Indeed, each potential user may have different or unique preferences regarding the: cost and/or duration of his/her journey, number of mode changes, comfort or safety levels desired. In the present study, we propose a multi-agent system which, based on the parameters entered by each user, proposes the optimal paths in the Pareto sense, including different public transport modes, private cars and parking availability.

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AdaBoost for Parking Lot Occupation Detection

Cited by 13 publications

References 6 publications

A Distributed Wireless Camera System for the Management of Parking Spaces

A Distributed Wireless Camera System for the Management of Parking Spaces

Hard to Park?

An architecture of an interactive multimodal urban mobility system

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