Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Real-time Object Detection"”.
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REAL-TIME OBJECT DETECTION FOR AUTONOMOUS DRIVING
A deep dive into deep learning object detection and optimizing the algorithms for autonomous driving application using channel pruning.
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Autonomous real-time object detection and identification
… power available for processing. The objective of this work is to detect and identify objects in real-time, with a low power footprint so that it can operate on a UAV. An appraisal of current computer vision methods is presented, with reference to their performance and applicability to …
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Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
… in-situ data access. We evaluate Armada in both real-world volunteer environments and emulated platforms to show how common edge applications, namely real-time object detection and face recognition, can be easily deployed on Armada serving distributed users at scale with low latency.
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Low-cost deep learning UAV and Raspberry Pi solution to real time pavement condition assessment
In this thesis, a real-time and low-cost solution to the autonomous condition assessment of pavement is proposed using deep learning, Unmanned Aerial Vehicle (UAV) and Raspberry Pi tiny computer technologies, which makes roads maintenance and renovation management more efficient and cost effective. …
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An FPGA platform for demonstrating embedded vision systems
… an FPGA platform that can be used to enable real-time embedded vision systems, specifically object detection. Interfaces are built between the FPGA and a high definition (1980 x 1080) HDMI camera, an off-chip DRAM, an FMC connector, an SD Card, and an HDMI display. The interface processing …
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Minimizing redundant communication in vehicle networks for city mapping
… for a variety of applications that make use of real-time vehicle sensor data. Combined with advances in real-time object detection, this enables real-time updates from vehicle networks that can monitor just about anything on or near the roads. These updates can cover time-sensitive situations as …
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Embedded object detection and position estimation for RoboCup Small Size League
… has to detect and estimate the position of other objects on the field so it can score goals and move without colliding with other robots. Object detection models often use monocular images as the input, but calculating the relative position of an object given a monocular image is quite challenging …
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Detection of safety vests and face recognition
In this paper, we describe a real-time detection system that utilizes a live feed through a camera to identify workers and detect protective safety vests using algorithms based on deep learning. Due to large and complex sites the proposed project will automate the process by providing real-time …
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Design-Space Exploration of Biologically-Inspired SNN Models for Application-Specific Many-Core Systems
… comparison to the development of innovative runtime spiking tools, and demonstrates application in real-time environments. The exploration begins with a background study of different generations of neural network analysis and an investigation of the use of SNN for real-time applications. This …