학술논문

Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone
Document Type
Chapter
Author
Das, Kedar Nath, Editor; Bansal, Jagdish Chand, Editor; Deep, Kusum, Editor; Nagar, Atulya K., Editor; Pathipooranam, Ponnambalam, Editor; Naidu, Rani Chinnappa, Editor; Veni, S.Anand, R.Vivek, D.Kacprzyk, Janusz, Series Editor; Pal, Nikhil R., Advisory Editor; Bello Perez, Rafael, Advisory Editor; Corchado, Emilio S., Advisory Editor; Hagras, Hani, Advisory Editor; Kóczy, László T., Advisory Editor; Kreinovich, Vladik, Advisory Editor; Lin, Chin-Teng, Advisory Editor; Lu, Jie, Advisory Editor; Melin, Patricia, Advisory Editor; Nedjah, Nadia, Advisory Editor; Nguyen, Ngoc Thanh, Advisory Editor; Wang, Jun, Advisory Editor
Source
Soft Computing for Problem Solving : SocProS 2018, Volume 2. 01/01/2020. 1057:361-372
Subject
Engineering
Computational Intelligence
Signal, Image and Speech Processing
Artificial Intelligence
Android
Geo-fencing
Sign board detection
UART module
Android for automobile
Language
English
ISSN
2194-5357
2194-5365
Abstract
work focuses on analysis, need, design and implementation of an easy to work driver-assistance system in both normal and especially in a fleet management environment. The work provides assistance to the drivers and also to the fleet managers. Considering situations such as bumpers on the road, a side road that joins the highway, etc., if alerted to driver it can save a lot of accidents. The work is implementation of the same through global positioning system (GPS) and through sign board recognition mechanism. It alerts the driver also the fleet manager about speed limit zone, honking restriction zone through geo-fencing implementation. The work proposes a special hardware that could interface with any android phone through an android application. This hardware will be used to collect necessary information like sign board information, vehicle environmental information and communicate to the android phone either through On The Go (OTG) cables or Bluetooth interface. The phone in turn uses GPS position and embeds the position data with the above vehicle data, alerts and stores them for further analysis. The android application works with the incoming information and the GPS positioned and gives its feedback as an assistance to the driver. This work includes need for driver-assistance combined with fleet management and sign board recognition concept.