Designing an IoT based autonomous vehicle meant for detecting speed bumps and lanes on roads

Due to the excessive demand of automated solutions, intelligent transportation is the currently popular research area. Internet of things (IoT) is a boon to the today's world, as communication with almost all the things around is made possible. IoT based autonomous vehicle (AV) is the most researchable topic, which is being approached by technology giants such as Google, Hyundai, Uber and so on. Inspired by this concept, this paper presents a technique to detect speed bumps and lanes on roads by utilizing IoT. This work considers that the speed bump and lane detection are the most fundamental, yet primary requirements of any AV. Both the goals are attained by employing ultrasonic and Wi-Fi sports camera sensor respectively. The lane detection is carried out by a computer vision based algorithm, which processes the video data. Furthermore, this work can be utilized on vehicle with drivers for the sake of alerting. The performance of the work is quite satisfactory in terms of accuracy, sensitivity, specificity and F-measure with reasonable time consumption.

Automated summary

Intelligent transportation is a popular research area due to high demand for automated solutions, with IoT playing a key role in autonomous vehicle research. This paper presents a technique utilizing IoT to detect speed bumps and lanes on roads, achieving satisfactory performance.