Abstract:
Street View is an emerging concept in the world of online map navigation. Google developed it and have continuously improving it till date. It has wide variety of applications in different fields. The data gathered for its creation can be used for many information extraction purposes.
Panoramic Street View has been developed with the integration of images taken through Optical Cameras, IR sensors and GPS information. All these sensors are placed on a vehicle, which moves across the designated area, takes images and combine them into 360 panoramic street views.
This project aims in developing a framework by integrating all the sensors mounted at a vehicle/car and using Google’s open source APIs. It is an interactive system which provides the users with the map of MCS and allows navigation just as in real world environment. Panoramas are created to generate the required navigational view. A vehicle is equipped with cameras, GPS and LRF sensor to gather the required data for the creation of walkthrough.
The system’s graphical user interface (GUI) is much like a web page which can be viewed using a web browser. The user interface have same look and feel just as in Google Street View. Images and sensor data is stored on a separate storage device. The end application can run on any web browser running on any operating system. Google Maps API is used to get the maps and integrate panoramas into it to form a walkthrough.
