Essays about: "Neuromorphic vision"
Found 5 essays containing the words Neuromorphic vision.
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1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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2. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware
University essay from KTH/DatavetenskapAbstract : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. READ MORE
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3. The effect of noise filters on DVS event streams : Examining background activity filters on neuromorphic event streams
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Image classification using data from neuromorphic vision sensors is a challenging task that affects the use of dynamic vision sensor cameras in real- world environments. One impeding factor is noise in the neuromorphic event stream, which is often generated by the dynamic vision sensors themselves. READ MORE
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4. Training of Object Detection Spiking Neural Networks for Event-Based Vision
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Event-based vision offers high dynamic range, time resolution and lower latency than conventional frame-based vision sensors. These attributes are useful in varying light condition and fast motion. READ MORE
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5. Design and Implementation of Digital Spiking Neurons for Ultra-low-Power In-cluster processors
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Neuromorphic computing is a recent and growing field of research. Its conceptual attractiveness is due to the potential it has in deep learning applications such as sensor networks, low-power computer vision, robotics and other fields. READ MORE