Mobile mapping platform with integrated end-to-end data processing chain for smart city applications

Abstract

We present the concept of a mobile measurement platform paired with an end-to-end data processing chain that enables analysis of multimodal sensor data in real time for smart city mapping. The proposed system can be integrated on mobile platforms into everyday traffic in urban environments. The online pre-processed and compressed information can then be used to directly update a cloud-based digital twin. This enables the creation of a virtual image of entire cities and generates data that can be used for real time Urban Information Modeling, and thus a valuable planning tool to provide up-to-date information at any time. The generated data form the basis for decision-making on improving mobility flows for smart transportation systems and autonomous vehicles and the survey of infrastructure and vegetation for sustainable urban development. The proposed concept is achieved using energy efficient embedded sensors and processing units in combination with computational optimized software architectures close to the sensors.