- PAMI2024
- mmWave
- conference
- mmWave
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Active Stereo Vision
Active Stereo Vision is a computer vision technique used to generate 3D depth maps of objects and scenes. It is based on the principles of stereo vision and enhances the accuracy and reliability of depth perception by actively projecting structured light or infrared light.
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A Review of 3D Surface Modeling Techniques Based on Images
3D surface modeling is a core topic in computer vision and graphics, with wide-ranging applications in virtual reality, medical imaging, cultural heritage preservation, game development, and autonomous driving. This paper reviews image-based 3D surface modeling techniques, including methods such as single-image reconstruction, stereo vision, multi-view stereo (MVS), structured light, and deep learning. The development history and main contributors of each technique are detailed.
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Wind and Turbulence Detection
Millimeter-wave radar (MWPR) technology is a promising solution for wind and turbulence detection due to its high accuracy and real-time capabilities. By measuring phase shift between transmitted and received signals, MWPR can generate accurate measurements of wind speeds and directions as well as turbulence levels. Compared to traditional methods, MWPR operates in all weather conditions without loss of accuracy, provides continuous monitoring, detects small-scale patterns, and covers large areas quickly. Applications of MWPR include aviation, maritime navigation, and agricultural monitoring.
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Vortex Detection in Storm Systems
Vortex detection in storm systems using millimeter-wave radar (MWPR) is a critical aspect of weather forecasting. Data is collected by deploying MWPR antennas and analyzed to identify regions of intense magnetic energy, which correspond to rotating air masses or vortices. Advantages include higher resolution, wider field of view, and better signal stability. Recent studies have shown that MWPR can accurately detect both small-scale and large-scale vortex structures, even in the presence of strong precipitation and cloud cover.
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Virtual Aperture Techniques
Millimeter-wave radar (MWR) is a cutting-edge technology that enables high-resolution, long-range detection of objects in various environments. One of the key challenges in developing MWR systems is to achieve a large enough aperture while maintaining high signal-to-noise ratio and low power consumption. This is where virtual aperture techniques (VATTs) come into play. VATTs are a class of algorithms that can effectively simulate the behavior of a physical antenna by adjusting the phase and amplitude of the signal at different frequencies. By doing so, VATTs can provide a more accurate representation of the radar's range and directionality without the need for a physical antenna with a large aperture. The use of VATTs in MWR has numerous advantages over traditional approaches, including improved range and directionality, flexibility in adapting to different environments, and enhanced tracking capabilities. With their ability to adapt to changing environments and enhance tracking capabilities, VATTs have numerous potential applications in fields such as automotive safety, security, and environmental monitoring.