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Showing result 6 - 10 of 80 essays matching the above criteria.
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6. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE
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7. Computer Vision for Volume Estimation and Material Classification
University essay from Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitetAbstract : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. READ MORE
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8. Real Time Vehicle Detection for Intelligent Transportation Systems
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. READ MORE
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9. Gunshot Detection and Direction of Arrival Estimation Using Machine Learning and Received Signal Power
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Poaching is a persistent issue that threatens many of earth’s species including therhino. The methods used by poachers are varied, but many use guns to carry outtheir illegal activities. Gunfire is extremely loud and can be heard for kilometres. READ MORE
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10. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE