Essays about: "pedestrian model evaluation"
Showing result 1 - 5 of 15 essays containing the words pedestrian model evaluation.
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1. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. READ MORE
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2. Vibrations in a high frequency clt floor panel - Measurement, prediction and evaluation
University essay from Lunds universitet/Byggnadsmekanik; Lunds universitet/Institutionen för byggvetenskaperAbstract : There is an increased need for floors that can accommodate different type of sensitive equipment [1]. Further, it is recommended to design these floors as high frequency floors (HFF) to be able to meet the stringent vibration criteria [1]. READ MORE
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3. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE
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4. Från trafikled till stadsstråk : en utvärdering av Råbyvägen i Uppsala kommun
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : Då bilen blev allt vanligare i Sverige från 1950-talet förändrades stadsplaneringsidealen från fokus på människans till bilens framkomlighet. Efter millennieskiftet har idealen börjat vända igen och städer står nu inför utmaningen att anpassas både för människor och fordon. READ MORE
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5. Estimating Position and Velocity of Traffic Participants Using Non-Causal Offline Algorithms
University essay from Linköpings universitet/ReglerteknikAbstract : In this thesis several non-causal offline algorithms are developed and evaluated for a vision system used for pedestrian and vehicle traffic. The reason was to investigate if the performance increase of non-causal offline algorithms alone is enough to evaluate the performance of vision system. READ MORE