Essays about: "NIGHT VISION TECHNOLOGY"
Showing result 1 - 5 of 20 essays containing the words NIGHT VISION TECHNOLOGY.
-
1. Night Vision Goggle Simulation in a Mixed Reality Flight Simulator with Seamless Integrated Real World
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Night vision goggles (NVGs) are optical devices used to enhance human vision at low light conditions such as nighttime. The image seen through the goggles is brightened but with the consequence of introduced visual limitations and illusions. READ MORE
-
2. Intelligent Headlamp Levelling : Thesis work at Scania CV AB
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Illumination of the road environment plays an important role for the night-time vision of the driver and in general road safety. The purpose of this thesis is to develop a proof of concept that can measure the vertical angular displacement of a truck headlamp relative to the road. READ MORE
-
3. Night-time Vehicle Detection Based on Observable Light Cues Using Deep Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis investigates the issue of computer vision-based detection of oncoming cars during night-time, a critical road safety issue for automated high-beam assist. We propose a holistic image classification approach that uses deep learning methods to detect light artifacts from an oncoming car’s headlights before the car is entirely visible. READ MORE
-
4. 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)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
-
5. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios
University essay from KTH/Hälsoinformatik och logistikAbstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE