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Titlebook: In-Vehicle Corpus and Signal Processing for Driver Behavior; Kazuya Takeda,John H. L. Hansen,Hüseyin Abut Book 2009 Springer-Verlag US 200

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31#
發(fā)表于 2025-3-27 00:05:47 | 只看該作者
32#
發(fā)表于 2025-3-27 02:00:46 | 只看該作者
In-Vehicle Corpus and Signal Processing for Driver Behavior978-0-387-79582-9
33#
發(fā)表于 2025-3-27 06:32:30 | 只看該作者
Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications,eptually optimized packet scheduling algorithm developed for robust low-delay intervehicle video communication. The algorithm has been tested by transmitting video data captured by on-board cameras to another vehicle in proximity, using ad hoc 802.11 wireless technology and the H.264 video coding st
34#
發(fā)表于 2025-3-27 09:47:10 | 只看該作者
Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution,t confirm that the accuracy and computation speed in general cases are improved in comparison to those of the original extractor. We also extend the object distribution map to reflect the shapes of pedestrians with various postures in real situations. Preliminary experimental results are given to sh
35#
發(fā)表于 2025-3-27 15:51:51 | 只看該作者
A New Method for Evaluating Mental Work Load In ,-Back Tasks,red when the subject get distracted by paying attention to secondary tasks, and it is compared with the identified model output. This method makes it possible to assay the influence of mental work load on VOR. This study has investigated the influence of mental work load on human eye movement by giv
36#
發(fā)表于 2025-3-27 19:50:07 | 只看該作者
Cross-Probability Model Based on Gmm for Feature Vector Normalization,: 75.53 and 62.49% of mean improvement in word error rate, WER, for MEMLIN with SpeechDat Car and a reduced set of Aurora2 database, respectively (82.86 and 67.52% if time-independent cross-probability model is applied). Although the behaviour of the technique is satisfactory, using clean acoustic m
37#
發(fā)表于 2025-3-27 22:58:31 | 只看該作者
38#
發(fā)表于 2025-3-28 05:23:21 | 只看該作者
,Design of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment, dominant under adverse noisy environment of an automobile. Representative experimental results demonstrate that the audio-visual speech recognition system achieves promising performance in adverse noisy condition, making it suitable for embedded devices.
39#
發(fā)表于 2025-3-28 09:23:12 | 只看該作者
40#
發(fā)表于 2025-3-28 14:23:14 | 只看該作者
Improved Vehicle Safety and How Technology Will Get Us There, Hopefully,e engineering community to give full consideration to the usability problems associated with in-vehicle systems designed to engage/communicate with drivers. Such interactions may contain information about the vehicle, the roadway, other vehicles, the route, or the weather, or they may be of personal
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