The First Full-size RC Vehicle: Collecting Bangladeshi Road-traffic Data and Doing Research on Autonomous Three Wheeler

Md. Sanzidul Islam
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Abstract

The Autonomous machineries are changing our thinking level day by day. Autonomous driving system is a field of likelihood of computer vision research. The flourished countries has already come to the fore and using semi autonomous driving vehicle. They constructed the driving model as their eco-friendly and with their road traffic data. But in Indian sub-continent countries like Bangladesh, there has a little research work and implementation on it. In our research we have made a full size vehicle where we can set up our sensors, cameras and other hardwares to collect the visual training data to train any kind of vision based autonomous vehicle algorithms. We also proposed a CNN model to classify the real-time objects with our dataset. Finally, tested the trained model using the vehicle in real environment and got expected output. Here we used a rickshaw (Bangladeshi traditional three wheeler) as our base vehicle and use some custom made hardware to full-fill our purpose.
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第一辆全尺寸RC车辆:收集孟加拉国道路交通数据并对自动三轮车进行研究
自主机器每天都在改变我们的思维水平。自动驾驶系统可能是计算机视觉研究的一个领域。发达国家已经开始使用半自动驾驶汽车。他们根据自己的环境友好性和道路交通数据构建了驾驶模型。但在印度次大陆国家,如孟加拉国,有一些研究工作和实施。在我们的研究中,我们制造了一辆全尺寸的汽车,在那里我们可以设置传感器、摄像头和其他硬件来收集视觉训练数据,以训练任何基于视觉的自动驾驶汽车算法。我们还提出了一个CNN模型,利用我们的数据集对实时对象进行分类。最后,用车辆在真实环境中对训练好的模型进行了测试,得到了预期的输出结果。在这里,我们使用人力车(孟加拉国传统的三轮车)作为我们的基础车辆,并使用一些定制的硬件来完成我们的目的。
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