Abstract: In response to the growing demand for flexibility, scalability, and real-time performance in modern radar systems operating in dynamic environments, this paper investigates key digital ...
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Extra 'set of eyes' for self-driving cars: Roadside radar sensors could reduce blind spots
Autonomous vehicles (AVs) are becoming increasingly common on roadways, but making them as safe as possible may entail going beyond the particular specs of the vehicles themselves to upgrading the ...
Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...
NI USRP X420 combines 20-gigahertz frequency range and phase-coherent, multi-channel architecture to accelerate ...
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Commodity radar: Sell gold on rallies, says LKP Securities expert. 5 indicators signal more downside
Gold rates fell by nearly Rs 1,800 or 1% intraday on the MCX on Monday, hitting a low of Rs 1,54,125 per 10 gram amid profit booking. The domestic prices took cues from international markets where ...
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Abstract: Distributed sensing through video, audio, radar and other sensors is strongly growing with application areas such as smart homes and Internet of Things. The concept of edge computing ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
You will be redirected to our submission process. Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, compact, and transferable ...
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