Essays about: "Timestamp accuracy"
Showing result 1 - 5 of 10 essays containing the words Timestamp accuracy.
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1. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hydrobatic Autonomous Underwater Vehicles (AUVs) are underactuated robots that can perform agile maneuvers in challenging underwater environments with high efficiency in speed and range. The challenge lies in localizing and navigating these AUVs particularly for performing manipulation tasks because common sensors such as GPS become very unreliable underwater due to their poor accuracy. READ MORE
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2. Verification Method for Time of Capture of a Rolling Shutter Image
University essay from Linköpings universitet/Databas och informationsteknikAbstract : Modern automotive systems increasingly depend on camera sensors to gather safetycriticaldata used in driver-assisting features of the system. These features can consist offor example, lane-keeping assist and automatic braking where the sensors register objectswithin certain distances. READ MORE
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3. Computer Vision in Fitness: Exercise Recognition and Repetition Counting
University essay from KTH/Matematik (Avd.)Abstract : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. READ MORE
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4. Applying Human-scale Understanding to Sensor-based Data : Generating Passive Feedback to Understand Urban Space Use
University essay from Uppsala universitet/Byggteknik och byggd miljöAbstract : The aim of this thesis is to investigate how parametrization of large-scale person movement data can contribute to describing the use of urban space. Given anonymous coordinate and timestamp data from a sensor observing an open-air mall, movement-based parameters are selected according to public life studies, behavioral mapping, and space syntax tools. READ MORE
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5. Segmenting the Left Atrium in Cardic CT Images using Deep Learning
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Convolution neural networks have achieved a state of the art accuracy for multi-class segmentation in biomedical image science. In this thesis, a 2-Stage binary 2D UNet and MultiResUNet are used to segment the 3D cardiac CT Volumes. 3D volumes have been sliced into 2D images. READ MORE