Rapid convergence of utility and mobility solutions enabled by data and the Internet of Things is future-proofing economies around the world, delivering liveability, sustainability and resilience, and importantly decreasing pressure on utility bills and infrastructure costs. Australians cannot miss out …

This dissertation is focused on three main topics, namely judicial cooperation in the European Union, the European Arrest Warrant and the European Union Counter-Terrorism Strategy. The recent rise in terrorist threats emphasises the need for a European Union that cooperates closely, which in turn makes …

From single-cell organisms to complex neural networks, all evolved to provide control solutions to generate context- and goal-specific actions. Neural circuits performing sensorimotor computation to drive navigation employ inhibitory control as a gating mechanism as they hierarchically transform (multi)sensory …

This paper reports about the operation of the automated and electric ParkShuttle at the Rivium Businesspark in the Netherlands. The ParkShuttles operate without a driver on a designated lane where crossing traffic is managed with barriers. The second and current generation ParkShuttles have been operating …

Trends and driving forces around us are moving fast in multiple directions. Technical developments in the fields of circular economy, internet of things, bio-based products, robotics, energy and materials are influencing and reshaping our transactional and contextual environment. To create integrated …

Steering systems of trucks consist of many linkages, which introduce nonlinearities that may negatively affect steering performance. Nowadays, it is possible to equip steering systems with actuators that provide artificial steering characteristics. However, before new steering systems are deployed in …

A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road …

Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best localization systems based on GNSS cannot always reach this level of precision, especially in an urban environment, where the signal is disturbed by surrounding buildings and artifacts. …