找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Intelligent Autonomous Drones with Cognitive Deep Learning; Build AI-Enabled Lan David Allen Blubaugh,Steven D. Harbour,Michael J. Book 20

[復(fù)制鏈接]
查看: 22610|回復(fù): 50
樓主
發(fā)表于 2025-3-21 19:54:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning
副標(biāo)題Build AI-Enabled Lan
編輯David Allen Blubaugh,Steven D. Harbour,Michael J.
視頻videohttp://file.papertrans.cn/470/469371/469371.mp4
概述Develop your own AI enabled drone, understanding the software and hardware requirements.Model the behavior of the designed AI-drone within multiple simulation environments such as VREP, Gazebo,‘a(chǎn)nd Ai
圖書(shū)封面Titlebook: Intelligent Autonomous Drones with Cognitive Deep Learning; Build AI-Enabled Lan David Allen Blubaugh,Steven D. Harbour,Michael J. Book 20
描述What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone..You‘ll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems.?.Using this approach you‘ll be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately, you‘ll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability..Intelligent Autonomous Drones wi
出版日期Book 2022
關(guān)鍵詞Sensors; Inertial Measurement Unit; IMU; Sense Detect and Avoid; SDaA; Insurance considerations for an AI
版次1
doihttps://doi.org/10.1007/978-1-4842-6803-2
isbn_softcover978-1-4842-6802-5
isbn_ebook978-1-4842-6803-2
copyrightDavid Allen Blubaugh, Steven D. Harbour, Benjamin Sears, Michael J. Findler 2022
The information of publication is updating

書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning影響因子(影響力)




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning影響因子(影響力)學(xué)科排名




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning被引頻次




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning被引頻次學(xué)科排名




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning年度引用




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning年度引用學(xué)科排名




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning讀者反饋




書(shū)目名稱Intelligent Autonomous Drones with Cognitive Deep Learning讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics
 

0票 0%

Better Implies Difficulty
 

0票 0%

Good and Satisfactory
 

0票 0%

Adverse Performance
 

0票 0%

Disdainful Garbage
您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:20:18 | 只看該作者
Book 2022swer these questions and more, and empower you to develop your own AI-enabled drone..You‘ll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards establ
板凳
發(fā)表于 2025-3-22 00:50:44 | 只看該作者
AI Rover System Design and Analysis,e simplifications of complex ideas. For example, Newton’s Second Law of Motion tries to explain the physics of momentum. It is a great approximation, but it is not 100% accurate. It leaves out gravity, friction, and so on. But it . helpful.
地板
發(fā)表于 2025-3-22 07:48:55 | 只看該作者
5#
發(fā)表于 2025-3-22 09:50:01 | 只看該作者
6#
發(fā)表于 2025-3-22 14:08:08 | 只看該作者
Reinforced Learning,gaming module that works as a flight simulator, a computer vision system that detects the pilot’s gestures, a flight dynamics analyzer for verifying the safety limits of the state space variables during a simulated flight, and a module to calculate the Q-function and the learned policy.
7#
發(fā)表于 2025-3-22 20:29:27 | 只看該作者
8#
發(fā)表于 2025-3-23 00:52:40 | 只看該作者
Adding Sensors to Our Simulation,R, radar, cameras, etc. Our LiDAR sensor develops the first distance-ranging capabilities of the rover. We will develop Python scripts that directly control the rover’s wheels through the differential drive plug-in. Finally, we will experiment with a keyboard control (Teleops) of the rover via a Python script.
9#
發(fā)表于 2025-3-23 04:45:29 | 只看該作者
10#
發(fā)表于 2025-3-23 09:33:19 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-27 17:53
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
平原县| 渭南市| 香河县| 青海省| 京山县| 乐东| 剑川县| 拜泉县| 镇康县| 张家界市| 南和县| 宁阳县| 巧家县| 互助| 西藏| 临洮县| 葫芦岛市| 河源市| 荔波县| 罗山县| 天水市| 香格里拉县| 长岭县| 大邑县| 红桥区| 西乡县| 九江市| 万荣县| 筠连县| 普格县| 和顺县| 黎城县| 益阳市| 白山市| 台北县| 嘉鱼县| 蕉岭县| 盐池县| 南昌县| 稷山县| 稻城县|