Document Type : Primary Research paper
Asst.Prof, Dept of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur
Asst Prof of English, English Division, Dept of S&H, VFSTR Deemed to be University, Vadlamudi AP.
Based on video and picture camera stabilisation techniques, an improved route tracking application is developed in this research study. The original input video has the potential to transform the pictures and include noise as well as severe distortions. As a result, the factors listed below may have an impact on route tracking as well as misinformation collection. The purpose of this article is to present a multi-media tool based silent tracking programme for obtaining crazy condition and route characteristics. To reduce noise, the original pictures are filtered using an adaptive median filter. After filtering, the target and background may be readily recognised and separated, and the boundary criteria are useful for obtaining neighbourhood target pictures. Angle, derivative-path, and curvature computations are used in the following procedure. Following this main procedure, a preview picture is shown on the screen, and the driving speed is controlled by front wheel revolutions. The subsequent information and realisation are controlled by the random pursuit matching algorithm. The results of the experiments indicate that the proposed application is useful for driverless vehicle tracking. This study was carried out at different reference speeds and with a precision of 0.04 metres.