Corpus ID: 53107415

A speech-based driver assisting module for Intelligent Transport System

  title={A speech-based driver assisting module for Intelligent Transport System},
  author={Himangshu Sarma and Navanath Saharia},
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… Expand
1 Citations
Potential Use of Personal Tracking Device for Sleep Quality Assessment of Flight Attendant
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An automatic road sign recognition system based on a computational model of human recognition processing
An automatic road sign detection and recognition system that is based on a computational model of human visual recognition processing and the experimental results revealed both the feasibility of the proposed computational model and the robustness of the developedRoad sign detection system. Expand
Recognizing Text-Based Traffic Signs
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The recognition and tracking of traffic lights for intelligent vehicles based on a vehicle-mounted camera and the target tracking algorithm CAMSHIFT (Continuously Adaptive Mean Shift), which uses the color histogram as the target model, is adopted. Expand
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A fast and robust framework for incrementally detecting text on road signs from video by integrating two-dimensional image features in each video frame with the three-dimensional geometric structure information of objects extracted from video sequence. Expand
Automatic Detection and Classification of Traffic Signs
  • Carlos Filipe Paulo, P. Correia
  • Computer Science
  • Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07)
  • 2007
Algorithms for the automatic detection of traffic signs from photo or video images and their classification to provide a driver alert system are proposed and include innovative components to improve the overall system performance. Expand
Text Detection and Recognition on Traffic Panels From Street-Level Imagery Using Visual Appearance
A language model partly based on a dynamic dictionary for a limited geographical area using a reverse geocoding service and a new approach for traffic panel detection in the state of the art is presented. Expand
Adaptive traffic road sign panels text extraction
Text strings, indicators and signs extraction is efficiently performed so OCR algorithms can recognize different characters that may be present on the traffic plane so that the OCR system could be able to recognize characters properly. Expand
Automatic Detection and Classification of Road Lane Markings Using Onboard Vehicular Cameras
  • M. Paula, C. Jung
  • Computer Science
  • IEEE Transactions on Intelligent Transportation Systems
  • 2015
A Bayesian classifier based on mixtures of Gaussians is applied to classify the lane markings present at each frame of a video sequence as dashed, solid, dashed solid, solid dashed, or double solid. Expand
Traffic light recognition in varying illumination using deep learning and saliency map
A convolutional neural network is used to extract and detect features from visual camera images to improve the recognition accuracy of the proposed traffic light recognition algorithm in varied illumination conditions. Expand