Localization and Human Being Detection by using Dirty Algorithm
Journal: GRD Journal for Engineering (Vol.3, No. 07)Publication Date: 2018-04-04
Authors : V. M. Singaravelu; P. M. E. Valaiyapathi; K. S. Veerakeshav; N. Venkatraman; P. Selvan;
Page : 210-213
Keywords : Human Detection; Motion Detection; Mobile Robot; Navigation; Rescue; Robotics; Ultrasonic Sensor; Urban Search and Rescue;
Abstract
There are dual challenges for human detecting a robot are to detect and to have an accurate distance locating system. In indoor positioning, GPS receivers cannot be used due to reflections. To detect human beings, we use ultrasonic sensor for finite detection range with the help of Dirty algorithm from UWB technology. The ultrasonic sensor have to be in close of proximity to the victim in order to detect it. Unlike other human body detection system thermal images, visual images, CO2 detection, our method is to detect object with high attenuation. Ultrasonic and sound signal pass through obstacles but with high attenuation, i.e., sounds are detected into a range closer to the victim than with the use of electromagnetic waves. Our process does bot discern between alive and dead human beings so it report the human bodies in an area.
Citation: V. M. Singaravelu, Erode Sengunthar Engineering College, Erode, Tamil Nadu; P. M. E. Valaiyapathi ,Erode Sengunthar Engineering College, Erode, Tamil Nadu; K. S. Veerakeshav ,Erode Sengunthar Engineering College, Erode, Tamil Nadu; N. Venkatraman ,Erode Sengunthar Engineering College, Erode, Tamil Nadu; Dr. P. Selvan ,Erode Sengunthar Engineering College, Erode, Tamil Nadu. "Localization and Human Being Detection by using Dirty Algorithm." Global Research and Development Journal For Engineering : 210 - 213.
Other Latest Articles
- Triples Avoided and Speed Control in Two Wheelers using Sensors
- Blade Design, Analysis and Utilization of Vertical Axis Windmill using ANSYS Software for Streetlights
- Early Prediction and Control of Forest Fire
- Secured Picode: Using Visual Cryptography
- Solid Waste Management using Internet of Things and Android Application
Last modified: 2018-05-22 03:48:26