找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Vision for Driver Assistance; Simultaneous Traffic Mahdi Rezaei,Reinhard Klette Book 2017 Springer International Publishing AG 201

[復(fù)制鏈接]
查看: 51032|回復(fù): 40
樓主
發(fā)表于 2025-3-21 18:14:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computer Vision for Driver Assistance
副標(biāo)題Simultaneous Traffic
編輯Mahdi Rezaei,Reinhard Klette
視頻videohttp://file.papertrans.cn/235/234078/234078.mp4
概述Explores theoretical and practical aspects of driver assistance systems, illustrated by various real-world experiments.Presents technically advanced concepts in an accessible way that is suitable for
叢書(shū)名稱(chēng)Computational Imaging and Vision
圖書(shū)封面Titlebook: Computer Vision for Driver Assistance; Simultaneous Traffic Mahdi Rezaei,Reinhard Klette Book 2017 Springer International Publishing AG 201
描述.This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems..While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles..Computer Vision for Driver Assistance. is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics inmodern vehicle design.?.
出版日期Book 2017
關(guān)鍵詞advanced driver-assistance systems; autonomous vehicles; driver distraction; driver fatigue; vehicle det
版次1
doihttps://doi.org/10.1007/978-3-319-50551-0
isbn_softcover978-3-319-84426-8
isbn_ebook978-3-319-50551-0Series ISSN 1381-6446
issn_series 1381-6446
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書(shū)目名稱(chēng)Computer Vision for Driver Assistance影響因子(影響力)




書(shū)目名稱(chēng)Computer Vision for Driver Assistance影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computer Vision for Driver Assistance網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computer Vision for Driver Assistance網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computer Vision for Driver Assistance被引頻次




書(shū)目名稱(chēng)Computer Vision for Driver Assistance被引頻次學(xué)科排名




書(shū)目名稱(chēng)Computer Vision for Driver Assistance年度引用




書(shū)目名稱(chēng)Computer Vision for Driver Assistance年度引用學(xué)科排名




書(shū)目名稱(chēng)Computer Vision for Driver Assistance讀者反饋




書(shū)目名稱(chēng)Computer Vision for Driver Assistance讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:32:27 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:35:49 | 只看該作者
Samuel H. Preston,Irma T. Elo,Ira Rosenwaikele at all times, but provided automated control features of the vehicle (based on input data generated by different sensors) already enhance safety and driver comfort. We especially consider automated control features possible by using camera data.
地板
發(fā)表于 2025-3-22 05:07:16 | 只看該作者
5#
發(fā)表于 2025-3-22 10:05:36 | 只看該作者
https://doi.org/10.1007/978-90-481-8978-6ised and unsupervised learning approaches. The chapter provides technical details for each method, discussions on the strengths and weaknesses of each method, and gives examples and various applications for each method. Material is provided to support a decision for an appropriate object detection t
6#
發(fā)表于 2025-3-22 15:40:07 | 只看該作者
7#
發(fā)表于 2025-3-22 17:56:42 | 只看該作者
Data Sources for Health Demography,g method and an accurate 2D-to-3D registration technique to obtain the driver’s head pose, yawing detection, and head-nodding detection. Chapter . and this chapter present the first major objective of this book’s focus on “driver behaviour” (i.e. driver drowsiness and distraction detection). The fin
8#
發(fā)表于 2025-3-22 21:46:09 | 只看該作者
9#
發(fā)表于 2025-3-23 02:05:35 | 只看該作者
10#
發(fā)表于 2025-3-23 06:29:08 | 只看該作者
https://doi.org/10.1007/978-3-319-50551-0advanced driver-assistance systems; autonomous vehicles; driver distraction; driver fatigue; vehicle det
 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, 2025-10-20 13:54
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
昂仁县| 大丰市| 云南省| 凯里市| 洮南市| 孟州市| 郧西县| 绥宁县| 江山市| 扶余县| 宜兴市| 江孜县| 连州市| 类乌齐县| 崇明县| 崇阳县| 探索| 黔江区| 噶尔县| 曲阜市| 安平县| 广饶县| 礼泉县| 同心县| 屏东市| 阜南县| 南漳县| 镇沅| 章丘市| 儋州市| 新竹市| 吕梁市| 蓬溪县| 五峰| 武汉市| 大丰市| 启东市| 灵璧县| 虹口区| 安仁县| 丹棱县|