Gürkan Solmaz, E. L. Berz, Marzieh Dolatabadi Farahani, Samet Aytaç, Jonathan Fürst, Bin Cheng, Jos den Ouden
{"title":"Learn from IoT: Pedestrian Detection and Intention Prediction for Autonomous Driving","authors":"Gürkan Solmaz, E. L. Berz, Marzieh Dolatabadi Farahani, Samet Aytaç, Jonathan Fürst, Bin Cheng, Jos den Ouden","doi":"10.1145/3349622.3355446","DOIUrl":"https://doi.org/10.1145/3349622.3355446","url":null,"abstract":"This paper explores the potential of machine learning (ML) systems which use data from in-vehicle sensors as well as external IoT data sources to enhance autonomous driving for efficiency and safety in urban environments. We propose a system which combines sensor data from autonomous vehicles and IoT data collected from pedestrians' mobile devices. Our approach includes two methods for vulnerable road user (VRU) detection and pedestrian movement intention prediction, and a model to combine the two outputs for potentially improving the autonomous decision-making. The first method creates a world model (WM) and accurately localizes VRUs using in-vehicle cameras and external mobile device data. The second method is a deep learning model to predict pedestrian's next movement steps using real-time trajectory and training with historical mobile device data. To test the system, we conduct three pilot tests at a university campus with a custom-built autonomous car and mobile devices carried by pedestrians. The results from our controlled experiments show that VRU detection can more accurately distinguish locations of pedestrians using IoT data. Furthermore, up to five future steps of pedestrians can be predicted within 2 m.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133539150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resource Management of IoT Devices in Restrictive Environments","authors":"A. D. Guerrero-Pérez","doi":"10.1145/3349622.3355451","DOIUrl":"https://doi.org/10.1145/3349622.3355451","url":null,"abstract":"Rational and optimum use of resources to Internet of Things platforms has underscored new challenges since a common problem for IoT communication is absence of experience in communications where no involving people. An IoT scenario presupposes machines, objects or things are no longer in need of support, supervision, and assistance; however, some issues must be faced, such as communications delay, data synchronization, energy consumption and computing power. This work aims to efficiently and effectively use of network and devices resources. IoT must be independent of entities responsible for interact in cyber-physical systems. A lightweight messaging protocol, agnostic to content and payload, based on Publish/Subscribe technique optimizes network and devices resources and allows independence and autonomy. This work proposes, the use of lightweight Internet protocols to integrate a message broker and Publish/Subscribe messaging transport. The design was validated through firmware to less use of microcontroller from IoT devices. Consequently, logical operations and processed data were less. Finally, test scenario was implemented with major components of the Publish/Subscribe and the design is able to support RESTful architecture. Moreover, it demonstrated data transfer trough MQTT protocol improves: payload, bandwidth and power consumption compared with RESTful techniques. Finally, it offers a path to achieve critical requirements expect anywhere, anytime and improved capabilities to final users and businesses. The proposal aims to align on the principle less is often more.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Katto, Masaru Takeuchi, Kenji Kanai, Heming Sun
{"title":"Road Infrastructure Monitoring System using E-Bikes and Its Extensions for Smart Community","authors":"J. Katto, Masaru Takeuchi, Kenji Kanai, Heming Sun","doi":"10.1145/3349622.3355455","DOIUrl":"https://doi.org/10.1145/3349622.3355455","url":null,"abstract":"In this paper, we present a road infrastructure monitoring system using e-bikes to support smart community. Smartphone and IoT (Internet of Things) devices are attached to e-bikes, and electric power is supplied from the batteries of e-bikes. Image processing techniques based on deep learning are applied and run on IoT devices or cloud backbone. A prototype system is implemented, which performs from image capturing to web browsing of the processed images.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121727410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"When Gamification Meets Sustainability: A Pervasive Approach to Foster Sustainable Mobility in Madeira","authors":"Bruno Cardoso, M. Ribeiro, Catia Prandi, N. Nunes","doi":"10.1145/3349622.3355449","DOIUrl":"https://doi.org/10.1145/3349622.3355449","url":null,"abstract":"In this paper, an approach to increase the use of public transportation by tourists, exploiting pervasive technologies and a smart objects infrastructure, is presented. The idea behind our platform is to take advantage of gamification and smart technologies (such as iBeacons technologies and smartphones) to engage users and persuade them to use (more) sustainable means of transport. The Beacons, in fact, acts as a provider of authentic contents related to the story of Madeira, assisting and locating the user in his/her adventure. We carried out a case study on the Madeira island, a well-known touristic destination where several bus lines allow tourists to reach the different sight-seeing places. Moreover, a preliminary usability test and a SUS questionnaire were performed to assess the usability and facility of use of the application.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134392888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A User-Centred Approach to Design In-Vehicle Human Machine Interfaces: A Case Study for Electric Cars","authors":"Giovanni Delnevo, S. Mirri, Catia Prandi","doi":"10.1145/3349622.3355450","DOIUrl":"https://doi.org/10.1145/3349622.3355450","url":null,"abstract":"This paper presents the user-centred process we followed to design in-vehicle human machine interfaces. In particular, we here describe the methodology we employed to design both the car dashboard and the infotainment system in the specific context of electric cars. We shared an online questionnaire engaging 143 users and we carried out two focus group sessions aimed to refine the created mockups, incorporating the users' suggestions and feedback. The final design of the interfaces was implemented in an electric car developed under the TIME project, a regional founded project aimed to develop integrated technologies for electric mobility.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"119 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121015833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Framework for Queryable Video Analysis: A Case-Study on Transport Modelling","authors":"Mark Bugeja, A. Dingli, M. Attard, D. Seychell","doi":"10.1145/3349622.3355448","DOIUrl":"https://doi.org/10.1145/3349622.3355448","url":null,"abstract":"Analysing video data requires the use of different models trained to retrieve or process data for a particular task. In this paper, we introduce an approach to represent the visual context within a video as queryable information. Through the use of computer vision techniques, we can detect and classify objects. Our system processes these classifications in order to construct a queryable data-set referred to as the real world model. The advantage of this approach is that through the formalisation of the information, we can create generic queries to retrieve information. This approach allows for processing to be done on edge devices such as embedded cameras while only transmitting detected information reducing the transmission bandwidth as well as infrastructural costs. The final recognition data is processed on the cloud. The analysed case study works on video traffic representation - an experiment around the transport domain. We evaluate and validate our approach by posing several queries to the system that generates information on the traffic situation, such as car counting and traffic flow. The results show that our approach can add context to classifications with a high degree of accuracy in some of the cases, achieving 95% car counting accuracy during the day. Fine tuning approaches are also discussed with reference to the video traffic representation case while keeping to the same proposed methodology.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130737890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Driving Empowered by Connectivity","authors":"Toktam Mahmoodi","doi":"10.1145/3349622.3355456","DOIUrl":"https://doi.org/10.1145/3349622.3355456","url":null,"abstract":"Cooperative intelligent transport systems (ITS) and connected vehicles are foreseen to change the way mobility is conceived today. The success, however, hugely depends on the advances in communication technologies and the provision of reliable and low-latency communication from networks to the vehicles and among vehicles themselves. The emerging 5G network is aimed at providing the reliable vehicle-to-anything (V2X) communication to foster the automate driving. This talk will provide an overview of the state of research in telecommunication and automotive sector in this area, and discuss open challenges, opportunities and ways forward. The talk will also illustrate research results of the 5GCAR project, funded under H2020 programme in Europe, as a flagship project on automated driving, and share some learning from tests and trials in number of automated driving scenarios.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134451486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Framework for Data and Concept Interoperability in Smart Mobility Systems","authors":"A. Carbonaro","doi":"10.1145/3349622.3355452","DOIUrl":"https://doi.org/10.1145/3349622.3355452","url":null,"abstract":"Transport systems need to represent and analyze data from multiple sources and networks to dynamically respond to demands and operate more efficiently. But deploying ad-hoc platforms could be very expensive and ineffective in the long run. It is preferable to focus on data availability and smart data analysis and to develop interoperability strategies suitable for smart mobility based on open standards and allowing seamless integration of third-party systems and custom applications. This paper highlights the opportunity to take advantage of emerging technologies, like the open-source data platforms and to use services for data linked queries in cities, and especially in the domain of smart mobility systems.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132556023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Users as Programmers: Developing a Vehicular Interface Notation for Older Users of Smart Vehicles","authors":"C. Ikem","doi":"10.1145/3349622.3355454","DOIUrl":"https://doi.org/10.1145/3349622.3355454","url":null,"abstract":"We present a research framework for studying the development of programming notation for control interfaces targeted at older consumers of smart connected vehicles in order to support future data collection at the early stages of development using the concept of inclusive design. By analyzing literature from perspectives on mobility/IoT technology, inclusive design and user experience, we hope to establish evidence (in-practice) in the process of developing notations for vehicular interfaces that are inclusive for older consumers. The research framework describes the relationship between the perspectives and relates that to notation development for older consumers. We see notations as a feature that embody \"experience-driven' and \"interaction-driven' visions with the capacity to help older users better control their driving experience and develop their cognitive ability.","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131897688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","authors":"","doi":"10.1145/3349622","DOIUrl":"https://doi.org/10.1145/3349622","url":null,"abstract":"","PeriodicalId":334983,"journal":{"name":"Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}