Room Recognition For Mobile Robot Using Appearance-Based Method

One popular approach for vision based mobile robot localization is the appearance based method, where the image can be used for recognition in its basic form without extracting local features. The general aim of this work is to develop a room recognition system using appearance-based method for mobile robot localization. The room recognition is achieved by matching color histogram of image using the Artificial Neural Network. A hardware module and a software module have been developed for this project. The hardware module consists of a catadioptric sensor system implemented on a mobile robot platform. The software module encompasses several sub modules namely image acquisition; image pre-processing; histogram plotting; histogram filtering, sampling and normalization; neural network for offline training and testing, and finally real time room recognition. A few experiments have been conducted to evaluate the performance of the system and the results have been favorable. Testing for suitable network setting was also carried out and a recommendable setting was proposed.