Learning to Drive With and Without Intelligent Computer Systems and Sensors to Assist
Learning to Drive With and Without Intelligent Computer Systems and Sensors to Assist
复制标题
学习在有或没有智能计算机系统和传感器辅助的情况下驾驶
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Manish Malik
中科院分区：
文献类型：
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作者：
D. Sanders;G. Tewkesbury;Hassan Parchizadeh;J. Robertson;P. Omoarebun;Manish Malik
本文研究了在整个训练过程中使用传感器是否更有效。结果是从调查新手车辆驾驶员学习，同时使用不同数量的传感器支持。定性和定量的数据评估进行比较与传感器的驾驶员，而他们学习驾驶车辆。对训练方法的依赖性，被记录为智能系统给予的不同程度的支持。这项工作反映了经验丰富的驾驶员在培训期间是否使用传感器帮助他们，然后当他们后来没有任何帮助时，他们是否能够令人满意地驾驶。一些结果包括在内，在所有情况下，援助是更有利的驾驶任务变得更加困难。
This paper investigates whether the use of sensors throughout training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those while they learn to drive a vehicle. Dependence on the training methods used was logged as a different amount of support given by the intelligent systems. The work reflects on whether experienced drivers taught with sensors aiding them during their training, were then able to drive satisfactorily when they later did not have any assistance. Some results are included and, in all situations, assistance was more advantageous as driving tasks became more difficult.