Essays about: "Machine Vision Cameras"

Showing result 1 - 5 of 35 essays containing the words Machine Vision Cameras.

1. 1. 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

3. 2. Learning features for extrinsic camera calibration of wide-angle cameras

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Albin Holmkvist; Max Björkander; [2023]
   Keywords : Computer vision; camera calibration; machine learning; artificial intelligence; wireframes;

   Abstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE

4. 3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

   Author : Cina Arjmand; [2023]
   Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

   Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

5. 4. Fog detection using an artificial neural network

   University essay from Lunds universitet/Matematisk statistik

   Author : Quanwei Li; Tiancheng Ma; [2023]
   Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

   Abstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE

6. 5. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

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

   Author : Beatrice Lovely; [2022]
   Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

   Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE