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Showing 1 to 5 of 5 for “"Traffic Sign Detection"”.

  1. Computer Vision Algorithms for Mobile Camera Applications

    … presented in the thesis are: (i) activity detection and step counting from wearable cameras, (ii) door detection for indoor navigation of unmanned vehicles, and (iii) traffic sign detection from vehicle-mounted cameras.</p> <p>First, we present a fall detection and activity classification …

    syracuse-diss Repository record for Computer Vision Algorithms for Mobile Camera Applications (opens in a new tab)

  2. Leveraging Autonomous Vehicles In Transportation Asset Management

    Traffic sign inventory generation is important for transportation asset management because accurate sign records support roadway safety, maintenance planning, and asset-level decision making. However, current field inventory, image-log, street-view, mobile mapping, and computer vision methods may …

    houston Repository record for Leveraging Autonomous Vehicles In Transportation Asset Management (opens in a new tab)

  3. RAPID UNIFIED HMI AND PHYSICAL AGENT DEVELOPMENT FRAMEWORK FOR A CLASS OF CYBER PHYSICAL SYSTEM

    … is developed to support multi-systems design, visualization, and integration for Human Machine Interface (HMI) and physical embedded agents, and real-time vision system. We address the open source and platform-independent software architecture, system integration, and communication …

    siu-theses Repository record for RAPID UNIFIED HMI AND PHYSICAL AGENT DEVELOPMENT FRAMEWORK FOR A CLASS OF CYBER PHYSICAL SYSTEM (opens in a new tab)

  4. Efficient object detection via structured learning and local classifiers

    Object detection has made great strides recently. However, it is still facing two big challenges: detection accuracy and computational efficiency. In this thesis, we present an automatic efficient object detection frarnework to detect object instances ·in images using bounding boxes, which can be …

    oxford-brookes Repository record for Efficient object detection via structured learning and local classifiers (opens in a new tab)

  5. Assessment of Driver's Attention to Traffic Signs through Analysis of Gaze and Driving Sequences

    A driver’s behavior is one of the most significant factors in Advance Driver Assistance Systems. One area that has received little study is just how observant drivers are in seeing and recognizing traffic signs. In this contribution, we present a system considering the location where a driver is …

    uwo Repository record for Assessment of Driver's Attention to Traffic Signs through Analysis of Gaze and Driving Sequences (opens in a new tab)