Essays about: "Kernel Density Estimation"

Showing result 1 - 5 of 26 essays containing the words Kernel Density Estimation.

  1. 1. Clustering on groups for human tracking with 3D LiDAR

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Simon Utterström; [2023]
    Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

  3. 2. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  4. 3. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jinchen Liu; [2023]
    Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

  5. 4. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Andre Ráth; [2022]
    Keywords : 5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

    Abstract : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. READ MORE

  6. 5. Fixed Income Securities as a Hedge against Equity Market Downside

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Timmie Bengtsson; [2022]
    Keywords : Fixed Income; Financial Markets; Hedge; Portfolio; Downside Risk; Value-at-Risk; Expected Shortfall; Extreme Value Theory; Kernel Density Estimation; Business and Economics;

    Abstract : Investors are constantly searching for ways to protect their wealth, ideally without losing out on long-term returns. To achieve this, some investors choose to diversify their equity portfolios with fixed income assets, believing they can protect their portfolios from drawdowns. READ MORE