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Showing result 1 - 5 of 45 essays matching the above criteria.

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. Predicting Reactor Instability Using Neural Networks

   University essay from KTH/Fysik

   Author : Hilborn Hubert; [2022]
   Keywords : Boiling Water Reactors; Density Wave Instability; Multi-Layer Perceptron; Support Vector Regression; Kernel-Ridge Regression;

   Abstract : The study of the instabilities in boiling water reactors is of significant importance to the safety withwhich they can be operated, as they can cause damage to the reactor posing risks to both equipmentand personnel. The instabilities that concern this paper are progressive growths in the oscillatingpower of boiling-water reactors. READ MORE

6. 5. Vibration-Based Terrain Classification for an Autonomous Truck

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

   Author : Lucas Lovén; [2022]
   Keywords : Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

   Abstract : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. READ MORE