Essays about: "road and traffic sign"
Showing result 6 - 10 of 14 essays containing the words road and traffic sign.
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6. Risk Assessment based Data Augmentation for Robust Image Classification : using Convolutional Neural Network
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Autonomous driving is increasingly popular among people and automotive industries in realizing their presence both in passenger and goods transportation. Safer autonomous navigation might be very challenging if there is a failure in sensing system. READ MORE
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7. On the Construction of an Automatic Traffic Sign Recognition System
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : This thesis proposes an automatic road sign recognition system, including all steps from the initial detection of road signs from a digital image to the final recognition step that determines the class of the sign. We develop a Bayesian approach for image segmentation in the detection step using colour information in the HSV (Hue, Saturation and Value) colour space. READ MORE
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8. A Smart-Dashboard : Augmenting safe & smooth driving
University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationAbstract : Annually, road accidents cause more than 1.2 million deaths, 50 million injuries, and US$ 518 billion of economic cost globally. About 90% of the accidents occur due to human errors such as bad awareness, distraction, drowsiness, low training, fatigue etc. READ MORE
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9. Evaluation of Red Colour Segmentation Algorithms in Traffic Signs Detection
University essay from DatateknikAbstract : Colour segmentation is the most commonly used method in road signs detection. Road sign contains several basic colours such as red, yellow, blue and white which depends on countries.The objective of this thesis is to do an evaluation of the four colour segmentation algorithms. READ MORE
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10. Color Segmentation using LVQ-Learning Vector Quantization
University essay from DatateknikAbstract : This thesis aims to present a color segmentation approach for traffic sign recognition based on LVQ neural networks. The RGB images were converted into HSV color space, and segmented using LVQ depending on the hue and saturation values of each pixel in the HSV color space. READ MORE