New Scientific Article: Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures

Abstract: Autonomous vehicles (AVs) are already operating on the streets of many countries around the globe. Contemporary concerns about AVs do not relate to the implementation of fundamental technologies, as they are already in use, but are rather increasingly centered on the way that such technologies will affect emerging transportation systems, our social environment, and the people living inside it. Many concerns also focus on whether such systems should be fully automated or still be partially controlled by humans. This work aims to address the new reality that is formed in autonomous shuttles mobility infrastructures as a result of the absence of the bus driver and the increased threat from terrorism in European cities. Typically, drivers are trained to handle incidents of passengers’ abnormal behavior, incidents of petty crimes, and other abnormal events, according to standard procedures adopted by the transport operator. Surveillance using camera sensors as well as smart software in the bus will maximize the feeling and the actual level of security. In this paper, an online, end-to-end solution is introduced based on deep learning techniques for the timely, accurate, robust, and automatic detection of various petty crime types. The proposed system can identify abnormal passenger behavior such as vandalism and accidents but can also enhance passenger security via petty crimes detection such as aggression, bag-snatching, and vandalism. The solution achieves excellent results across different use cases and environmental conditions.

Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures
Dimitris Tsiktsiris, Nikolaos Dimitriou, Antonios Lalas, Minas Dasygenis, Konstantinos Votis, Dimitrios Tzovaras
Journal: Sensors
Date: 1 September 2020, DOI: 10.3390/s20174943
Download: Publisher’s version (Gold Open Access)

Event: AVENUE @ 5th Conference on Sustainable Urban Mobility (CSUM 2020)

On the 18th of June 2020, Eliane Horschutz Nemoto (HS PF) presented H2020 AVENUE project and the work conducting in the framework of this project at the 5th Conference on Sustainable Urban Mobility (CSUM 2020)

More info can be found at http://csum.civ.uth.gr

Event: The 5th AVENUE General Meeting

On the 14th and 15th of May 2020, our 5th Plenary was a success! PT operators willingness to deploy autonomous vehicles technologies remains intact! In fact COVID-19 measures pave the way for on-demand D2D highly personalised public transport services

Announcement: Covid-19 – Message to our members and partners

Dear partners, dear members of the Advisory board,

due to evolving situation with the COVID-19 and the travel restrictions imposed by the different European countries,
the management board of the project decided that we cannot maintain the physical General meeting in Copenhagen in May.
We therefor will hold the meeting in a videoconferencing mode, so please keep the 2 days reserved from other activities to join the virtual meeting.

One advantage in organising a virtual general meeting is that more people from your institutions can participate in specific targeted meetings (for example for a specific Task where an expert of your institution participates but would not had made sense to join a full 2 day physical meeting).

We will set up with the project board an adapted plan for the meeting to fit the video conference mode.
A proposal will be send to you as soon as possible.

All the best and thank you for your understanding

Geneva International Motor Show canceled

Due to the new COVID-19 restrictions, the Geneva International Motor Show 2020 will not take place. The Swiss Federal Government prohibits all gatherings of more than 1000 persons. So, the AVENUE presentations (VIP day and conference days) will unfortunately not take place.

Magazine: Horizon Magazine – Driverless shuttles: what are we waiting for?

Source: Horizon Magazine
Date: 25 February 2020



Event: H2020 Avenue – Mid-Term Review

On Friday January 31th, 2020, the mid-term review of the AVENUE project took place at the European Commission premises in Brussels.

During the review, the consortium presented the work conducted and the major results obtained during the first 18 months of the AVENUE project and answered the questions by the reviewers and representatives of the European commission.

The consortium is thankful to the European Commission, the Project Officer and the Reviewers for the constructive input, the fruitful discussions and the helpful recommendations on how to proceed and to improve in the upcoming period of the project.

Video: Holo’s participation in a Horizon 2020 project

Published by Holo

Finance, experience, and network. Product Development Lead Pernille Lytzen points out the benefits of being part of a Horizon 2020 project.

The Ministry for Higher Education and Research in Denmark is currently running an informative campaign for businesses about EU’s Horizon 2020.

They interviewed Pernille who talks about the benefits of being part of the Horizon 2020 project AVENUE, and how Holo has increased their knowledge and network through the consortium.

AVENUE is a project showcasing autonomous solutions in urban areas over the course of four years with Copenhagen (Nordhavn), Geneva, Lyon and Luxembourg as demonstrator cities. You can read more about the AVENUE Project and the Danish demonstrator site in Nordhavn.

The interview is in Danish.

See the news: https://www.letsholo.com/news/video-holos-participation-in-a-horizon-2020-project

New Scientific Article: A Study on Security and Privacy Guidelines, Countermeasures, Threats: IoT Data at Rest Perspective

Abstract: The Internet of Things (IoT) makes our lives much easier, more valuable, and less stressful due to the development of many applications around us including smart cities, smart cars, and smart grids, offering endless services and solutions. Protecting IoT data of such applications at rest either on the objects or in the cloud is an indispensable requirement for achieving a symmetry in the handling and protection of the IoT, as we do with data created by persons and applications. This is because unauthorised access to such data may lead to harmful consequences such as linkage attacks, loss of privacy, and data manipulation. Such undesired implications may jeopardise the existence of IoT applications if protection measures are not taken, and they stem from two main factors. One is that IoT objects have limited capabilities in terms of memory capacity, battery life, and computational power that hamper the direct implementation of conventional Internet security solutions without some modifications (e.g., traditional symmetric algorithms). Another factor is the absence of widely accepted IoT security and privacy guidelines for IoT data at rest and their appropriate countermeasures, which would help IoT stakeholders (e.g., developers, manufacturers) to develop secure IoT systems and therefore enhance IoT security and privacy by design. Toward this end, we first briefly describe the main IoT security goals and identify IoT stakeholders. Moreover, we briefly discuss the most well-known data protection frameworks (e.g., General Data Protection Regulation (GDPR), Health Insurance Portability (HIPAA)). Second, we highlight potential attacks and threats against data at rest and show their violated security goals (e.g., confidentiality and integrity). Third, we review a list of protection measures by which our proposed guidelines can be accomplished. Fourth, we propose a framework of security and privacy guidelines for IoT data at rest that can be utilised to enhance IoT security and privacy by design and establish a symmetry with the protection of user-created data. Our framework also presents the link between the suggested guidelines, mitigation techniques, and attacks. Moreover, we state those IoT stakeholders (e.g., manufacturers, developers) who will benefit most from these guidelines. Finally, we suggest several open issues requiring further investigation in the future, and we also discuss the limitations of our suggested framework.

A Study on Security and Privacy Guidelines, Countermeasures, Threats: IoT Data at Rest Perspective
Hezam Akram Abdulghani, Niels Alexander Nijdam, Anastasija Collen, Dimitri Konstantas
Journal: Symmetry
Date: 10 June 2019, DOI: 10.3390/sym11060774
Download: Publisher’s version (Gold Open Access)