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Infrastructure-Free Sensor Platform for Multidimensional Object and Motion Analysis

 
: Groneberg, M.; Brauckmann, N.; Richter, K.

:

Kabashkin, I.:
Reliability and Statistics in Transportation and Communication : Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia
Cham: Springer Nature, 2020 (Lecture Notes in Networks and Systems 117)
ISBN: 978-3-030-44609-3 (Print)
ISBN: 978-3-030-44610-9 (Online)
S.405-417
International Multi-Conference on Reliability and Statistics in Transportation and Communication (RelStat) <2019, Riga>
Englisch
Konferenzbeitrag
Fraunhofer IFF ()

Abstract
This paper examines the use of mobile sensor systems used to track objects and people. The research was conducted in the subproject “fast athletics” in the cluster project “fast -fast actuators, sensors and transceivers”. “Fast athletics” is intended to develop control loops with short latencies, high sampling rates and synchronicity in a heterogeneous sensor structure for performance diagnostics in sports. Although this project concentrates on sports, the findings are transferrable and applicable to logistics and supply chains. Tracking in this project requires highly adaptive, infrastructure-free mobile sensor platforms. A mobile sensor system, consisting of multiple unmanned aerial vehicles (drones) and autonomous mobile robots (AMRs), singly or in combination, was developed in order to track and analyze athletes or objects modularly, optically and wirelessly. The operator-controlled (tactile steering) or autonomous (noncontact assistance) mobile sensor platforms are equipped with multimodal sensors, e.g. RGB-D cameras (near field), Lidar sensors (far field) and radar sensors.

: http://publica.fraunhofer.de/dokumente/N-595943.html