<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Machine Vision on Counter UAV Radar — Low-Altitude Surveillance Radar</title>
    <link>https://www.counteruavradar.com/categories/machine-vision/</link>
    <description>Recent content in Machine Vision on Counter UAV Radar — Low-Altitude Surveillance Radar</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Thu, 26 Mar 2026 14:08:00 +0800</lastBuildDate>
    <atom:link href="https://www.counteruavradar.com/categories/machine-vision/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Bionic FMCW LiDAR and the Rise of Adaptive 4D Machine Vision</title>
      <link>https://www.counteruavradar.com/knowledge-base/bionic-fmcw-lidar-and-adaptive-4d-machine-vision/</link>
      <pubDate>Fri, 25 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/bionic-fmcw-lidar-and-adaptive-4d-machine-vision/</guid>
      <description>&lt;p&gt;Much of the excitement around LiDAR focuses on one number: resolution. The more important question is usually where the system spends its resolution budget. That is what makes recent work on gaze-enabled or bionic FMCW LiDAR interesting. Instead of scanning every direction with the same density, the sensor reallocates attention, preserving broad awareness while concentrating higher-detail sensing where the scene matters most.&lt;/p&gt;&#xA;&lt;p&gt;That is not only a photonics story. It is a systems story about how future perception stacks may stop treating every pixel, angle, and target region as equally valuable.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Thermal Cameras vs Radar for Night Surveillance</title>
      <link>https://www.counteruavradar.com/knowledge-base/thermal-cameras-vs-radar-for-night-surveillance/</link>
      <pubDate>Tue, 20 Jan 2026 14:08:00 +0800</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/thermal-cameras-vs-radar-for-night-surveillance/</guid>
      <description>&lt;p&gt;Night surveillance is often framed as a contest between radar and thermal imaging. In practice, that framing hides the real engineering question. The issue is not whether the site wants one sensor or the other. The issue is whether the mission needs early detection, stable tracking, visual confirmation, or all three.&lt;/p&gt;&#xA;&lt;p&gt;Thermal cameras and radar contribute to that workflow in different ways.&lt;/p&gt;&#xA;&lt;h2 id=&#34;what-thermal-cameras-actually-add&#34;&gt;What Thermal Cameras Actually Add&lt;/h2&gt;&#xA;&lt;p&gt;Thermal cameras measure emitted infrared energy rather than reflected visible light. That makes them useful at night because they do not depend on daylight to create contrast. Warm vehicles, people, and recently heated surfaces can remain visible even when visible-light cameras struggle.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
