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Despite the progress in the development of automated vehicles in the last decade, reaching the level of reliability required at large-scale deployment at an economical price and combined with safety requirements is still a long road ahead. In certain use cases, such as automated shuttles and taxis, where there is no longer even a steering wheel and...
The Internet of Things (IoT) technologies applications connect multiple devices directly and through the Internet. Autonomous vehicles utilize connectivity when updating their algorithms based on user data, interact with the infrastructure to get environmental information, communicate with other vehicles, exchange information with pedestrians using...
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.
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....
This document presents the final specification of use cases aimed to assess the potential of Internet of Things for enhancement and enabling of Automated Driving in AUTOPILOT project.
Cooperative automated driving is a promising technology to improve road safety, fuel consumption, and traffic throughput without the need to expand the current infrastructure. To accelerate the developments in cooperative driving toward deployment in realistic traffic, the second grand cooperative driving challenge (GCDC) took place in Helmond, The...
Europe is leading the market of torque-controlled robots. These robots can withstand physical interaction with the environment, including impacts, while providing accurate sensing and actuation capabilities. I.AM. leverages this technology and strengthens European leadership by endowing robots to exploit intentional impacts for manipulation. I.AM. focuses on impact aware manipulation in logistics, a new area of application for robotics which will grow exponentially in the coming years, due to socio-economical drivers such as booming of e-commerce and scarcity of labor. see: http://i-am-project.eu/
PRYSTINE will realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. https://prystine.eu/
5G-MOBIX will develop and test automated vehicle functionalities using 5G core technological innovations along multiple cross-border corridors and urban trial sites, under conditions of vehicular traffic, network coverage, service demand, as well as considering the inherently distinct legal, business and social local aspects. https://www.5g-mobix.com/