Essays about: "traffic sign recognition"
Showing result 1 - 5 of 16 essays containing the words traffic sign recognition.
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1. Generation of Synthetic Traffic Sign Images using Diffusion Models
University essay from Linköpings universitet/DatorseendeAbstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE
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2. Traffic Sign Recognition
University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapAbstract : Smart vehicles with capabilities of autonomous driving are a big revolution in automobile industry. The vehicles can sense their environment and react based on it. It replaces the manual driver. Recognition of traffic sign is an important enabler for autonomous driving. READ MORE
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3. A Deep Learning Application for Traffic Sign Recognition
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Traffic Sign Recognition (TSR) is particularly useful for novice driversand self-driving cars. Driver Assistance Systems(DAS) involves automatic trafficsign recognition. Efficient classification of the traffic signs is required in DAS andunmanned vehicles for safe navigation. READ MORE
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4. Traffic Sign Recognition Using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computer vision is an area in computer science that attempts to give computers the ability to see and recognise objects using varying sources of input, such as video or pictures. This problem is usually solved by using artificial intelligence (AI) techniques. The most common being deep learning. READ MORE
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5. A comparison of training algorithms when training a Convolutional Neural Network for classifying road signs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis is a comparison between three dierent training algorithms when training a Convolutional Neural Network for classifying road signs. The algorithms that were compared were Gradient Descent, Adadelta, and Adam. READ MORE