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...
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–...
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 ...
For example, the systems and methods described herein may be used in robotics (e.g., path planning for a robot), aerial systems (e.g., path planning for a drone or other aerial vehicle), boating systems (e.g., path planning for a boat or other water vessel), and/or other ...
Not all are automotive focused. Indeed, some are focused on the UWB band, seeking to offer single-chip low-cost high-resolution radar solutions for applications such as drone navigation, vital signs monitoring, human machine interface, medical imaging, smart home, and so on. These start-ups in...
almost directly from above. This enables the tracker to capture the full extent of the drone over time. However, UAV C (right) is partially seen by the radar which leads to underestimating the size of the drone. Also, the estimated centroid periodically oscillates around the true drone center...
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 ...
Micro-Doppler based detection and tracking of UAVs with multistatic radar. In Proceedings of the IEEE Radar Conference, Philadelphia, PA, USA, 2–6 May 2016; pp. 1–6. [Google Scholar] Jian, M.; Lu, Z.; Chen, V.C. Drone detection and tracking based on phase-interferometric Doppler ...
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 ...
As the fused trajectories in this work represent vehicle trajectories on a 1.5 km path, they can be used for many of the same tasks as popular trajectory datasets such as NGSIM [14] and highD dataset [15], both of which are recorded from cameras (highD from a drone) and postprocessed...