A speech-based driver assisting module for Intelligent Transport System
This addresses driver safety and convenience in Intelligent Transport Systems, but it is incremental as it applies existing methods to a new domain.
The researchers tackled the problem of assisting drivers by converting images of roadside traffic panels into speech, achieving a system with three modules for detection, text conversion, and speech synthesis, and developed a corpus of 250 images for two Indian languages.
Aim of this research is to transform images of roadside traffic panels to speech to assist the vehicle driver, which is a new approach in the state-of-the-art of the advanced driver assistance systems. The designed system comprises of three modules, where the first module is used to capture and detect the text area in traffic panels, second module is responsible for converting the image of the detected text area to editable text and the last module is responsible for transforming the text to speech. Additionally, during experiments, we developed a corpus of 250 images of traffic panels for two Indian languages.