Design of LIDAR Based Train Safety Model for Railway

Object detection is an essential technology for surveillance systems, particularly in areas with a high risk of accidents such as unnamed railway crossings, and railway track maintenance location, etc. To prevent future accident, the system must detect the train passing through the area with high accuracy and this process must be performed fulfilling real-time applications. In this work, an edge of WSN (Wireless Sensor Network) is capable of informing the user about the incoming train from a distance of more than a km. The response of the system has to be calculated and sent from the proposed XBEE wireless protocol, so as to trigger a warning action to avoid a possible accident. The system uses a LIDAR sensor that provides an accurate detection capability of the train. The element used to process the information is a custom embedded edge platform with low computing resources and low-power consumption.

Hersteller:	LAP Lambert Academic Publishing
Anschrift:	Brivibas gatve 197|1039|Riga|LV
Kontakt:	customerservice@vdm-vsg.de

DR SHALINI SAHAY WORKING As an Associate Professor in EC Department of SAGAR INSTITUTE OF RESEARCH & TECHNOLOGY, BHOPAL. She had more than 25 years of teaching experience.She has completed PhD. degree from RGPV Bhopal.