Essays about: "Machine Learning Camera"

Showing result 1 - 5 of 124 essays containing the words Machine Learning Camera.

1. 1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

   University essay from Uppsala universitet/Signaler och system

   Author : Jonas Wedén; [2024]
   Keywords : Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

   Abstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE

3. 2. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

   University essay from SLU/Dept. of Animal Nutrition and Management

   Author : Emelie Ahlberg; [2024]
   Keywords : body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

   Abstract : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. READ MORE

4. 3. Machine Learning for Spatial Positioning for XR Environments

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Khaled Alraas; [2024]
   Keywords : Extended Reality; Machine Learning; Sensor Fusion; Spatial Data Accuracy Virtual Productions; Augmented Reality; Virtual Reality; Real-time Camera Tracking; Location-Based Services; Gaming Platforms; Sensor Integration;

   Abstract : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. READ MORE

5. 4. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Author : Marko Plavetic; [2023-06-26]
   Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

6. 5. Visual Bird's-Eye View Object Detection for Autonomous Driving

   University essay from Linköpings universitet/Datorseende

   Author : Erik Lidman; [2023]
   Keywords : computer vision; machine learning; neural networks; deep learning; autonomous driving; autonomous systems; datorseende; maskininlärning; neuronnät; djupinlärning; autonom körning; autonoma system;

   Abstract : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. READ MORE