代表
发表于 2025-3-21 18:23:19
书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0463156<br><br> <br><br>书目名称In-Vehicle Corpus and Signal Processing for Driver Behavior读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0463156<br><br> <br><br>
喧闹
发表于 2025-3-21 22:10:54
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倒转
发表于 2025-3-22 01:19:38
Wireless Lan-Based Vehicular Location Information Processing, difference in signal strength distribution according to the location of wireless LAN antenna. By using these differences we can estimate vehicles’ orientation. Finally, we introduce our metropolitan-scale localization project named Locky.jp.
Defense
发表于 2025-3-22 05:37:28
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防止
发表于 2025-3-22 11:01:10
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antidote
发表于 2025-3-22 13:07:59
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同音
发表于 2025-3-22 17:04:49
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seroma
发表于 2025-3-22 21:53:15
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范围广
发表于 2025-3-23 01:40:12
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讽刺
发表于 2025-3-23 08:54:19
UTDrive: The Smart Vehicle Project,d). Here, we describe our in-vehicle data collection framework, data collection protocol, dialog and secondary task demands, data analysis, and preliminary experimental results. Finally, we discuss our proposed multi-layer data transcription procedure for in-vehicle data collection and future research directions.