日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

物体追従arXiv:1801.06847

低コスト自律追従クアッドロータTraQuadの単眼カメラによる設計

Monocular Imaging-based Autonomous Tracking for Low-cost Quad-rotor Design - TraQuad

シェア:XThreadsFacebookLINEはてブBluesky

単眼カメラのみで任意の移動物体を自律追従する低コスト(約250ドル)クアッドロータを開発し、ROS GazeboシミュレータとSTATUSアルゴリズムで実現した。

著者: Lakshmi Shrinivasan, Prasad N R

分類: cs.RO

原文アブストラクト

TraQuad is an autonomous tracking quadcopter capable of tracking any moving (or static) object like cars, humans, other drones or any other object on-the-go. This article describes the applications and advantages of TraQuad and the reduction in cost (to about 250$) that has been achieved so far using the hardware and software capabilities and our custom algorithms wherever needed. This description is backed by strong data and the research analyses which have been drawn out of extant information or conducted on own when necessary. This also describes the development of completely autonomous (even GPS is optional) low-cost drone which can act as a major platform for further developments in automation, transportation, reconnaissance and more. We describe our ROS Gazebo simulator and our STATUS algorithms which form the core of our development of our object tracking drone for generic purposes.

  1. 1Boston Dynamics、車輪付きAtlasの研究試作機を紹介研究・技術
  2. 2GXOとApptronik、Apolloの物流現場試験を拡大 最大1,000台の展開を構想量産・展開
  3. 3newmoとKDDIが資本業務提携 2028年に堺市で自動運転タクシー商用化目指す提携・買収
  4. 4NVIDIA、CoRLでGR00T 2とIsaac Lab 3.0を発表新製品・発表
  5. 5UC BerkeleyとNVIDIAの研究者、AIエージェントでロボット制御コードを仮想環境で改善研究・技術
PR本紙発行元 EmplifAI