7 research outputs found

    AUTOPILOT Deliverable 5.8: Standards and conformance of IoT in AD

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    This document reports the activities carried out to contribute to standardisation of IoT in the context of mobility and automated driving as well as the project activities relating to IoT platform interoperability testing, i.e. TESTFEST in AUTOPILOT project

    IoT Technologies for Connected and Automated Driving Applications

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    The applications of the Internet of Things (IoT) technologies connect mul-tiple devices directly and through the Internet. Autonomous vehicles utiliseconnectivity when updating their algorithms based on user data, interact withthe infrastructure to get environmental information, communicate with othervehicles. They exchange information with pedestrians using mobile devicesand wearables and provide information about the traffic attributes and datacollected by the vehicle sensors. The connected and automated vehicles(CAV) require a significant quantity of collecting and processing data andthrough IoT applications and services the autonomous vehicles share information about the road, the present path, traffic, and how to navigate arounddifferent obstacles. This information can be shared between IoT connectedvehicles and uploaded wirelessly to the cloud or/and edge system to be anal-ysed and operated improving the levels of automation and the autonomousdriving (AD) functions of each vehicle. This chapter gives an overview ofthe integration of IoT devices contributing to automated/autonomous driving, and the IoT infrastructure deployed and seamlessly integrated into theAUTOPILOT project use cases and pilot demonstrators, including the IoTplatforms integration

    IoT solutions for large open-air events

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    This chapter presents the main results of the MONICA project, one of the five large-scale pilot projects funded by the European Commission. MONICA focuses on the adoption of wearable IoT solutions for the management of safety and security in large open-air events as well as on the reduction of noise level for neighbours. The project addresses several challenges in eleven pilots of six major European cities using a large number of IoT wearables and sensors. The chapter first introduces all MONICA challenges in the context of large open-air events and then presents the corresponding adopted technical solutions, the defined IoT architecture and the perspective in integrating a wide range of heterogeneous sensors. On one side, the focus is on the solutions that have been adopted to improve the crowd management, crowd safety and emergency responses by using wearables for both visitors and the security staff at the events, including also the adoption of video processing and data fusion algorithms to estimate the number of visitors and its distribution in the event area and to detect suspicious activity patterns. On the other hand, it describes how innovative Sound Level Meters (SLMs) can be deployed to monitor the sound propagation within the event area while reducing the noise impact on the neighbourhood
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