无坑洞:使用移动传感器检测印度道路上的坑洞

Gaurav Singal, Anurag Goswami, S. Gupta, Tejalal Choudhary
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引用次数: 7

摘要

道路上的坑坑洼洼会使交通变得更慢,成本更高。印度有一个庞大的道路网络连接村庄和城市,当局人员无法穿越该地区以识别漏洞。随着近年来机器学习的进步,我们可以利用这种技术来识别和修补坑洞。根据最近的调查,印度大约有4亿人拥有智能手机。我们可以使用智能手机传感器(如加速度计和陀螺仪)来识别道路上的坑洞,并使用GPS来确定坑洞的位置。该问题的主要任务是捕获数据和注释。我们开发了一款安卓应用程序,用于捕捉在路上行驶时位移的价值。我们对传感器原始数据应用了不同的分类算法。支持向量机是最适合这个问题的分类技术。当检测到坑洞时,安卓应用程序会发出警报。
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Pitfree: Pot-holes detection on Indian Roads using Mobile Sensors
Pot-holes on road will make transportation slower and costly. India has a big network of roads to connect the villages and cities, the authority persons cannot travel across the region for identification of holes. As per advancement in machine learning in recent time, we can use this technology for the identification and patching the pot-holes. As per the recent survey around 400millions, people have a smartphone in India. We can use smartphone sensors (such as Accelerometer and gyroscope) to identify the pot-holes on road and GPS for the location of the pit. The major task of this problem is to capture the data and annotation. We have developed an android app for capturing the value of displacement while travelling on road. We have applied different classification algorithms to sensor raw-data. SVM is the most suitable classification technique for this problem. The android app will sound an alarm when a pothole is detected.
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