Smart Surface Classification for Accessible Routing through Built Environment

Raychoudhury, Vaskar; Edinger, Janick; Mokrenko, Valeria; Cao, Zi-Jun; Zhang, Ce

doi:10.1145/3360322.3360863

Cited by 13 publications

(4 citation statements)

References 29 publications

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“…In such cases, a crowd-sensing approach is often used, which involves collecting data about the qualities of path while target user participants (wheelchair users etc.) travel along the routes [51], [52]. While it had previously been difficult to implement routing systems based on such qualities in scale due to the effort required by participants, recent improvements in machine learning have led to the development of techniques which allow various accessibility and safety qualities to be inferred automatically from public data sets (such as identifying zebra-crossings from satellite images [83], [84]) or with less effort by participants (such as a passive crowdsensing approach proposed by Kamaldin et al [85] which automatically detects surface type conditions for wheelchair users or the Moving Wheels [86] which automatically detects obstacles such as steps or ramps from crowd-sourced wheelchair users).…”

Section: Discussionmentioning

confidence: 99%

“…For example, if the navigation system aims to recommend safe routes, the authors could test whether crime has indeed occurred on the recommended routes by referring to past crime statistics. In other studies, the authors themselves manually evaluated routes generated by the system to see if the objective of their proposed algorithm was met [10], [37], [52] (for example, to see if the generated routes have indeed reduced heat exposure in comparison to the shortest path [37] or to determine whether the trade off in terms of safety is worth the added distance [10]). Alternatively, simulations could be carried out in which agents with pre-programmed sets of behaviours are used to evaluate the quality of the routes [43].…”

Section: Evaluation Of Route Navigation Systemsmentioning

confidence: 99%

“…For example, a crowdsourcing approach where users are asked to rate the images and locations that were used to calculate the quality of the route was used in [7]. Researchers have also examined how the parameters used to generate features for the routing process influences the overall route recommendation outcome [65] or the performance of the feature extraction methods [46], [52]. The different methods used in the routing could also be evaluated to determine which fits best with the predetermined user preference criteria [49].…”

Section: Evaluation Of Route Navigation Systemsmentioning

confidence: 99%

See 2 more Smart Citations

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

et al. 2020

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Navigation systems often aid users when traveling in unfamiliar locations. Current navigation systems tend to focus on identifying the shortest or fastest routes between two points. However, path cost expressed in terms of length and distance (i.e., the utilitarian qualities of travel) is only one attribute which could be used in route recommendation. Recent years have seen navigation systems moving beyond such utilitarian attributes. These include systems aimed at providing users with scenic, safe or attractive routes among other dimensions. In this paper, we contribute to the existing research domain by providing an overview of the different quality-aware route navigation systems that have been proposed in past research for pedestrians. In particular, we examine the different qualities which have been used as key criteria in route recommendation. As the outcome of the paper, we provide a categorization of these systems based on our proposed SWEEP taxonomy. In addition, we outline the various data sources, algorithms and evaluation approaches that have been used to implement quality-aware route navigation systems. Afterwards, we conclude by discussing potential problems encountered in previous studies and highlight promising directions for future research.

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Section: Discussionmentioning

confidence: 99%

Section: Evaluation Of Route Navigation Systemsmentioning

confidence: 99%

Section: Evaluation Of Route Navigation Systemsmentioning

confidence: 99%

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Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

et al. 2020

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“…Most research has focused on whether there are accessible routes for wheelchair users [51]. Navigation models [52] or methods to classify accessible or inaccessible surfaces (built or natural) [53] have been developed. Computational methods have also been developed that compile datasets from different sources to provide users with personalized and accessible pedestrian routes and maps [54].…”

Section: Introductionmentioning

confidence: 99%

Participatory Management to Improve Accessibility in Consolidated Urban Environments

et al. 2021

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There is a wide range of regulations on universal accessibility, but our cities are still inaccessible in many cases. Most accessibility problems in cities occur in consolidated areas that were developed prior to the development of current accessibility regulations. This leads to consider the importance of focusing more effort on managing the improvement of the accessibility of existing public urban environments. As such, the objective of this research is to design a conceptual model for accessibility management in consolidated urban environments. Unlike other research focusing on city users to collect information on accessibility problems or to provide services to improve wayfinding, this method has a focus on urban accessibility managers. The model is based on the assessment of the level of accessibility of urban environments together with the assessment of management processes in which city users are actively involved. It consists of a set of basic indicators for the identification of accessible pedestrian routes, and provides a dynamic accessibility index for the evaluation of their efficient management by the responsible governments. The inclusion of this assessment framework in the management process itself enables the necessary improvement actions to be identified and taken in time. ICT (Information and Communication Technologies) provide the communication channel between the responsible governments and city users, making this a more dynamic and efficient management model based on assessment possible.

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