Essays about: "car camera"
Showing result 6 - 10 of 79 essays containing the words car camera.
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6. 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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7. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios
University essay from KTH/Hälsoinformatik och logistikAbstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE
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8. Heterogeneous catalytic reactions studied with transient gas supply and event-averaged ambient pressure x-ray photoelectron spectroscopy
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/NanoLund: Centre for NanoscienceAbstract : CO oxidation over Pd(100) is studied with ambient pressure x-ray photoelectron spectroscopy (APXPS). Cyclic gas composition pulsing of the CO:O2 ratio, combined with a new method using software based event-averaging by image recognition over many pulses, is used to improve the signal-to-noise ratio substantially. READ MORE
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9. Windshield Distortion Modelling
University essay from Linköpings universitet/DatorseendeAbstract : When a camera system in a car is mounted behind the windshield, light rays will be refracted by the windshield. The distortion can be significant, especially for wide field-of-view cameras. Traditional approaches handle the windshield distortion along with the calibration that calculates the intrinsic and extrinsic parameters. READ MORE
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10. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE