As an alternative to the high-speed UAVs, we also conduct an additional scenario considering a common drone system with a much slower speed than the tsunami celerity28. Thus, the observation resembles the fixed/non-moving observation platforms. This experiment can also be used to assess the perf...
Thus, other fault detection and isolation (FDI) methods have been proposed, such as using an observer (or system model) to determine whether a drone’ s current behavior is significantly different from its fault-free behavior (Heredia et al., 2008; Simani, 2003). In autonomous road vehicle ...
The performance of target tracking is evaluated using the measured traffic flow data of the highway scenario. To quantitatively evaluate the MOTA metrics, we manually labeled 1000 frames of data in the experiment, and the trajectory output results of the tested methods were labeled with missed dete...
Drone range-Doppler plot and spectrogram plot showing micro-Doppler and rotor blade flashes. (A) Example of a range-Doppler profile of a drone flying at ~110 m range showing Doppler features. The large zero-Doppler target at ~170 m is a trihedral; (B) Spectrogram of a flying (99–...
Target tracking estimates the new location of each detected target. A novel convolutional neural network model was designed to extract and recognize the features of drone and non-drone targets. For the performance evaluation, a dataset collected with an IWR6843ISK mmWave sensor by Texas Instruments ...
A Novel Vision- and Radar-Based Line Tracking Assistance System for Drone Transmission Line Inspection. Remote Sens. 2024, 16, 355. https://doi.org/10.3390/rs16020355 AMA Style Wang W, Shen Z, Zhou Z. A Novel Vision- and Radar-Based Line Tracking Assistance System for Drone Transmission...
Using integral SMC, the drone maintains a consistent position directly above the transmission line with a target deviation of 0.1 m during flight. The tracking effect of the drone is illustrated in Figure 15. Figure 15. Deviation control performance. Figure 15a illustrates the deviation distances ...
DRONE aircraftTRACKING radarDEEP learningRADARSPECTROGRAMSFor modern radar systems, small unmanned aerial vehicles (UAVs) belong to a typical types of targets with 'low, slow, and small' characteristics. In complex combat environments, the functional requirements of radar systems are not only limited ...
Drone scheduling for construction site surveillance. Comput.-Aided Civ. Infrastruct. Eng. 2021, 36, 3–13. [Google Scholar] [CrossRef] Memon, S.A.; Kim, W.-G.; Khan, S.U.; Memon, T.D.; Alsaleem, F.N.; Alhassoon, K.; Alsunaydih, F.N. Tracking Multiple Autonomous Ground ...
Improved Drone Classification Using Polarimetric Merged-Doppler Images. IEEE Geosci. Remote Sens. Lett. 2021, 18, 1946–1950. [Google Scholar] [CrossRef] Erdogan, A.; Guney, S. Object Classification on Noise-Reduced and Augmented Micro-Doppler Radar Spectrograms. Neural Comput. Appl. 2022, 35...