Essays about: "edge based detection"

Showing result 1 - 5 of 75 essays containing the words edge based detection.

  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

  3. 2. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Alexandre Rancati-Palmer; Christopher Axt; [2023-08-03]
    Keywords : Morton; Carla; autonomous driving; edge case;

    Abstract : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. READ MORE

  4. 3. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : John Moberg; Jonathan Widén; [2023]
    Keywords : Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Abstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE

  5. 4. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  6. 5. Operation and Area Restriction of Autonomous Wheel Loaders Using Colour Markings

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Jonathan Fernkvist; Inas Hamzic; [2023]
    Keywords : Colour markings; Histogram; Line-following; Machine vision; Mapping; Wheel loader;

    Abstract : This thesis aims to create a system using colour markings for Volvo’s autonomous wheel loaders which determines their restricted area and operation using sensors available on the machine. The wheel loader shall be able to interpret and distinguish different colours of spray paint, and depending on the colour, act accordingly. READ MORE