Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications
نویسندگان
چکیده
منابع مشابه
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications
As smartphone rooted distractions become commonplace, the lack of compelling safety measures has led to a rise in the number of injuries to distracted walkers. Various solutions address this problem by sensing a pedestrian’s walking environment. Existing camera-based approaches have been largely limited to obstacle detection and other forms of object detection. Instead, we present TerraFirma, a...
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Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distribution, and behavior affect the robustness of the detection process. A novel vision-based sy...
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1 1. What’s New in Automotive Safety? Automobile safety technology advanced by great strides throughout the 20th century, from the first appearance of speedometers and electric headlamps, to the development of seat belts and safety glass, to the emergence of anti-lock brakes and airbags. As consumers demand safety, more and more automobile manufacturers are providing sophisticated technology, f...
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ژورنال
عنوان ژورنال: IEEE Transactions on Mobile Computing
سال: 2019
ISSN: 1536-1233,1558-0660,2161-9875
DOI: 10.1109/tmc.2018.2868659