Essays about: "Object Tracking Evaluation"
Showing result 1 - 5 of 30 essays containing the words Object Tracking Evaluation.
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1. Evaluation of the auroral large imagining system for automatic space debris detection
University essay from Luleå tekniska universitet/RymdteknikAbstract : The performance of the auroral large imagining system (ALIS_4D) and an automatic track detection algorithm was evaluated for space debris surveillance and tracking. The evaluation of the ALIS_4D was done through a numerical simulation and data annotations, while the track detection results were manually evaluated. READ MORE
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2. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE
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3. CatFish Project - Autonomy : Control System, Object Detection and Tracking for USVs
University essay fromAbstract : As a student project at Halmstad University, CatFish aims to make water quality measurement easier by the development of a set of cooperating measurement drones in and under water and up in the air. To minimize human effort during the operation of the CatFish system, the drones shall act autonomously to reach given sets of target coordinates on their own to fulfill desired measurement tasks on arrival. READ MORE
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4. Comparison of camera data types for AI tracking of humans in indoor combat training
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. READ MORE
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5. Efficient multiple hypothesis tracking using a purely functional array language
University essay from Linköpings universitet/DatorseendeAbstract : An autonomous vehicle is a complex system that requires a good perception of the surrounding environment to operate safely. One part of that is multiple object tracking, which is an essential component in camera-based perception whose responsibility is to estimate object motion from a sequence of images. READ MORE