Abstract
Pedestrians crossing zebra lines are one of the major concerns for road accidents. Nowadays, the number of road accidents increases due to careless driving and pedestrian motions at crosswalks. It is necessary to detect both person and zebra crossings properly and control vehicle speed accordingly. Here in this paper, a suitable solution that improves both detections can be introducing. Here used the TensorFlow Single Shot Detection (SSD) model is the best and most convenient trained model for Zebra line and person detection. A database is taking for the analysis. The input image could process as a crosswalk detection, which has more used for zebra crossing identification via the SSD model. Suppose detected the person and zebra crossings were at the same time. In that case, it will perform commands such as run, slow down, stop, horn, etc., with the help of wireless serial communication Universal Asynchronous Receiver-Transmitter. A Bluetooth command signal matches UART, which provides the vehicle with the necessary control inputs to execute the prescribed topology properly. Simultaneous detection of pedestrians at zebra crossings is a critical factor. It results most efficiently and to identify the person detection.
Highlights
In the present scenario, road accidents have become one of the most challenging problems
The outline of this paper summarizes all problem specifications described in detail in the 2nd section
This paper focuses on stationary detect ion of the pedestrian's intention to enter the traffic lane at intersections
Summary
Road accidents have become one of the most challenging problems. It is essential to regulate vehicle speed and fair usage of horn sound to save a life on the roads For this purpose, the highway department has marked the Zebra line, a crucial traffic sign that provides a safe way for pedestrians at intersections. Different algorithms and methods have proposed improving the road safety system by efficiently detecting pedestrians at zebra crossings and performed and completed a detailed survey of recent research done in this area introduced in this paper a thorough analysis. The proposed method introduced the desired solution to control vehicle speed whenever pedestrians crossed the Zebra line. For all these making realizable, the TensorFlow machine learning algorithm present in the proposed topology.
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