ORCID Profile
0000-0003-0208-0561
Current Organisation
Royal Melbourne Institute of Technology
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Geospatial Information Systems | Geomatic Engineering | Knowledge Representation and Machine Learning | Natural Language Processing
Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities | Electronic Information Storage and Retrieval Services |
Publisher: ACM
Date: 03-11-2015
Publisher: ACM
Date: 31-10-2016
Publisher: Informa UK Limited
Date: 22-09-2020
Publisher: Journal of Spatial Information Science
Date: 20-12-2018
Publisher: Springer International Publishing
Date: 16-09-2018
Publisher: Informa UK Limited
Date: 04-10-2016
Publisher: Public Library of Science (PLoS)
Date: 12-12-2017
Publisher: Informa UK Limited
Date: 12-2013
Publisher: MDPI AG
Date: 18-04-2017
DOI: 10.3390/IJGI6040120
Publisher: Elsevier BV
Date: 03-2019
DOI: 10.1016/J.AAP.2019.01.003
Abstract: Negotiations among drivers and pedestrians are common on roads, but it is still challenging for a self-driving vehicle to negotiate for its right of way with other human road users, especially pedestrians. Currently, the self-driving vehicles are programmed for conservative behavior, yielding to approaching pedestrians. Consequently, the future urban traffic will slow down significantly. In this paper, a conceptual model of vehicle-pedestrian negotiation is proposed. This model allows in idual decision making of multiple vehicles and pedestrians, extending a prior negotiation model for a single vehicle and a single pedestrian. The possible negotiation opportunities for vehicles are modeled considering different risk-taking behaviors of pedestrians. Simulation results show an overall improvement in the waiting time of vehicles and thus in the intersection throughput, compared to conservative vehicle behavior. The simulation results show also that the benefit of reduced waiting times for vehicles comes at the cost of some waiting time for pedestrians. However, the observed pedestrian waiting times in this model are not more than the generally accepted waiting times reported in empirical studies.
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Association for Computing Machinery (ACM)
Date: 18-06-2020
DOI: 10.1145/3321516
Abstract: In the absence of any global positioning infrastructure for indoor environments, research on supporting human indoor localization and navigation trails decades behind research on outdoor localization and navigation. The major barrier to broader progress has been the dependency of indoor positioning on environment-specific infrastructure and resulting tailored technical solutions. Combined with the fragmentation and compartmentalization of indoor environments, this poses significant challenges to widespread adoption of indoor location-based services. This article puts aside all approaches of infrastructure-based support for human indoor localization and navigation and instead reviews technical concepts that are independent of sensors embedded in the environment. The reviewed concepts rely on a mobile computing platform with sensing capability and a human interaction interface (“smartphone”). This platform may or may not carry a stored map of the environment, but does not require in situ internet access. In this regard, the presented approaches are more challenging than any localization and navigation solutions specific to a particular, infrastructure-equipped indoor space, since they are not adapted to local context, and they may lack some of the accuracy achievable with those tailored solutions. However, only these approaches have the potential to be universally applicable.
Publisher: ACM
Date: 04-11-2014
Publisher: Springer International Publishing
Date: 2020
Publisher: MDPI AG
Date: 15-06-2018
DOI: 10.3390/IJGI7060221
Publisher: ACM
Date: 06-11-2012
Publisher: Informa UK Limited
Date: 22-06-2017
Publisher: Informa UK Limited
Date: 29-05-2017
Publisher: Springer Science and Business Media LLC
Date: 27-04-2014
Publisher: Informa UK Limited
Date: 02-01-2014
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: ACM
Date: 03-11-2014
Publisher: Wiley
Date: 21-08-2014
DOI: 10.1111/TGIS.12093
Publisher: Informa UK Limited
Date: 06-08-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany
Date: 2018
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: ACM
Date: 31-10-2016
Publisher: ACM
Date: 03-10-2013
Location: Australia
Start Date: 2017
End Date: 12-2019
Amount: $399,500.00
Funder: Australian Research Council
View Funded Activity