{"title":"Towards the design of interactions in an Smart Parking for people with disability","authors":"Jésus Antonio Rosas Percastre, J. R. Cáceres","doi":"10.1109/CONTIE51334.2020.00024","DOIUrl":null,"url":null,"abstract":"The growth of cities has led to an increase in the number of vehicles passing on the streets generating an increase in traffic. This makes it difficult, among other things, to the mobility and access of the roads on which parking spaces are located. This is particularly important in the context of people with disability (PWD) who use their own vehicles to transport themselves. Since they are faced with the problem of finding a place to park and encounter obstacles that hinder their access and mobility, such as limited spaces, poorly marked spaces, poorly parked vehicles or objects that obstruct the places they have designated for their use.Smart Parking technology has helped to facilitate access to parking spaces by creating a mean of consultation and booking, but little has been considered to the PWD and the obstacles they may encounter when arriving at their destination, as they are generally not taken into account in the design of the technology.In this paper we propose a Smart Parking system based on computer vision (CV) and cameras with network connection for the detection of obstacles that make it impossible to park to the PWD, we propose to identify poorly parked vehicles and objects that are obstructing parking spaces. The information obtained is intended to link to a mobile application so that PWD can consult available locations as well as information about obstacles encountered, thereby, they can improve their interaction with their destination, as well as taking measures related to their mobility.","PeriodicalId":244692,"journal":{"name":"2020 3rd International Conference of Inclusive Technology and Education (CONTIE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference of Inclusive Technology and Education (CONTIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONTIE51334.2020.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The growth of cities has led to an increase in the number of vehicles passing on the streets generating an increase in traffic. This makes it difficult, among other things, to the mobility and access of the roads on which parking spaces are located. This is particularly important in the context of people with disability (PWD) who use their own vehicles to transport themselves. Since they are faced with the problem of finding a place to park and encounter obstacles that hinder their access and mobility, such as limited spaces, poorly marked spaces, poorly parked vehicles or objects that obstruct the places they have designated for their use.Smart Parking technology has helped to facilitate access to parking spaces by creating a mean of consultation and booking, but little has been considered to the PWD and the obstacles they may encounter when arriving at their destination, as they are generally not taken into account in the design of the technology.In this paper we propose a Smart Parking system based on computer vision (CV) and cameras with network connection for the detection of obstacles that make it impossible to park to the PWD, we propose to identify poorly parked vehicles and objects that are obstructing parking spaces. The information obtained is intended to link to a mobile application so that PWD can consult available locations as well as information about obstacles encountered, thereby, they can improve their interaction with their destination, as well as taking measures related to their mobility.