Essays about: "Heatmaps"
Showing result 1 - 5 of 19 essays containing the word Heatmaps.
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1. Classifying Motion Patterns of Bikes using Machine Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. READ MORE
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2. Pose Estimation using Implicit Functions and Uncertainty in 3D
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Human pose estimation in 3D is a large area within computer vision, with many application areas. A common approach is to first estimate the pose in 2D, resulting in a confidence heatmap, and then estimate the 3D pose using the most likely estimations in 2D. READ MORE
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3. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE
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4. Distillation or loss of information? : The effects of distillation on model redundancy
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The necessity for billions of parameters in large language models has lately been questioned as there are still unanswered questions regarding how information is captured in the networks. It could be argued that without this knowledge, there may be a tendency to overparametarize the models. READ MORE
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5. The World in 3D : Geospatial Segmentation and Reconstruction
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE