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Nanxing Shi, Yunsong Gu, Tingting Wu, Yuhang Zhou, Yi Wang and Shuai Deng
This research developed a pressure-based thrust vectoring angle estimation method for fluidic thrust vectoring nozzles. This method can accurately estimate the real-time in-flight thrust vectoring angle using only wall pressure information on the inner s...
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Seyedmilad Komarizadehasl, Behnam Mobaraki, Haiying Ma, Jose-Antonio Lozano-Galant and Jose Turmo
Today, low-cost sensors in various civil engineering sectors are gaining the attention of researchers due to their reduced production cost and their applicability to multiple nodes. Low-cost sensors also have the advantage of easily connecting to low-cos...
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Domenica Costantino, Gabriele Vozza, Massimiliano Pepe and Vincenzo Saverio Alfio
The aim of the research was to evaluate the performance of smartphone depth sensors (Time of Flight Camera(ToF) and Light Detection and Ranging (LiDAR)) from Android (Huawei P30 Pro) and iOS (iPhone 12 Pro and iPAD 2021 Pro) devices in order to build a 3...
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Pierre Duthon, Michèle Colomb and Frédéric Bernardin
This work gives some advice on choosing the best wavelengths for active sensors working in the near-infrared spectral band (such as LiDARs or time-of-flight cameras) taking into account fog conditions.
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Gerard Gibbs, Huamin Jia, Irfan Madani
Pág. 173 - 182
One of the basic tasks for autonomous flight with aerial vehicles (drones) is the detection of obstacles within its flight environment. As the technology develops and becomes more robust, drones will become part of the toolkit to aid maintenance repair a...
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Carl Van Geem, Marleen Bellen, Boris Bogaerts, Bart Beusen, ... Peter Hellinckx
Pág. 2966 - 2975
This contribution presents the results of the ?SENSOVO? project initiated by the Flanders Institute for Mobility (VIM), executed by the University of Antwerp (UAntwerp), the Flemish Institute for Technological Research (VITO) and the Belgian Road Researc...
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