【8月16日】看軍聞學英語

■泰戈爾

原文：

The Department of Defense is looking for AI-enhanced target recognition to help troops, vehicles and ships destroy drones.

The C-UAS Close-In Kinetic Defeat Enhancement project focuses on aided target recognition, or AiTR. This uses concepts such as AI, machine learning and computer vision to create a system that can detect threats - and distinguish them from non-threats such as birds - faster than a human operator can.

The first phase of the project is aimed at remote weapons stations, and specifically the ubiquitous Common Remotely Operated Weapon Station, or CROWS, turrets fitted to a variety of military vehicles. The primary objective is to accelerate the engagement timeline, initially focusing on Unmanned Aircraft Systems (UAS), with a secondary focus on other threats like vehicular and man-sized targets, explained the Defense Innovation Unit solicitation. Prototypes must "demonstrably improve" the ability of current remote weapons stations to detect, track and engage Groups 1 and 2 - targets with a weight of 55 pounds and under. Detection should be at ranges greater than 600 meters, and engagement at a minimum of 100 meters.

The second phase of the project seeks to boost C-UAS capabilities on "both moving and stationary platforms, including ground and maritime environments," the solicitation said. Specifications include the ability to hit a Group 1 drone - under 20 pounds - moving at 7 meters per second, or 16 miles per hour, at a range of 50 to 200 meters.

中譯：

美國國防部正尋求「AI 增強型目標辨識技術」，以協助士兵、車輛與船艦摧毀無人機。

這項名為「近迫動能擊殺強化」的計畫，核心在於「輔助目標辨識」。該技術利用人工智慧、機器學習與電腦視覺等概念，建立一套能偵測威脅，並能比人類操作員更快將威脅與非威脅目標（如鳥類）區分開來的系統。

計畫的第1階段針對「遙控武器站」，特別是廣泛安裝在各種軍用車輛上的「通用遙控操作武器站」砲塔。根據國防創新單位的招標說明：「主要目標是加速交戰時程，初期重點為無人機系統，次要重點則是車輛與人員大小的目標。」原型系統必須「顯著提升」現有遙控武器站偵測、追蹤並交戰「第1類與第2類」（重量在55磅以下）目標的能力。根據招標要求，偵測距離應大於600公尺，交戰距離至少為100公尺。

第2階段則尋求提升「機動與固定平臺（包含陸上與海上環境）」的反無人機能力。技術規範包括：在50至200公尺距離內，擊中一架以每秒7公尺速度移動的第1類無人機（20磅以下）。

-關鍵軍語-

※Kinetic Defeat：動能擊殺

※remote weapons station：遙控武器站