Essays about: "road sign recognition"
Showing result 1 - 5 of 13 essays containing the words road sign recognition.
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1. 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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2. Implementation of a Deep Learning Inference Accelerator on the FPGA.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE
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3. 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
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4. 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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5. 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