Essays about: "Vision Zero"

Showing result 1 - 5 of 48 essays containing the words Vision Zero.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  2. 2. Decentralized approach for IVI : Infrastructure-vehicle-information

    University essay from Högskolan i Halmstad

    Author : Abdallah Saleh; [2023]
    Keywords : V2I; V2X; IVI; ITS; Vision Zero; Infrastructure-vehicle-information; Intelligent Transport Systems; traffic safety; CCAM; ADAS;

    Abstract : With the growing number of vehicles on the road, improving traffic safety and efficiency has become a major challenge. One of the promising solutions is the implementation of Intelligent Transportation Systems (ITS), which utilizes communication technologies to facilitate real-time information sharing between vehicles and infrastructure. READ MORE

  3. 3. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

    University essay from Linköpings universitet/Datorseende

    Author : Christoffer Gärdin; [2023]
    Keywords : Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

    Abstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE

  4. 4. Generation of Synthetic Traffic Sign Images using Diffusion Models

    University essay from Linköpings universitet/Datorseende

    Author : Johanna Carlson; Lovisa Byman; [2023]
    Keywords : Machine Learning; Computer Vision; Diffusion Models; Traffic Sign Recognition; Traffic Sign Classification; Synthetic Data; Maskininlärning; Datorseende; Diffusionsmodeller; Trafikskyltsigenkänning; Trafikskyltsklassificering; Syntetisk data;

    Abstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE

  5. 5. Manoeuvre Coordination : Assuring safety in overtaking

    University essay from Högskolan i Halmstad

    Author : Qusay Sakhnini; Mohammad Suleiman; [2023]
    Keywords : CCAM; V2V; Vision Zero; ADAS; ITS; CA; CP; IS; MC;

    Abstract : The frightful statistics regarding road accidents draws a dreadful picture for individuals, communities, and nations across the globe. The number of fatalities exceeds a million every year. To address this issue, an initiative called Vision Zero was introduced first in Sweden 1997. READ MORE