Browsing by Subject "Object Detection"
Now showing items 1-9 of 9
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(2022-04-22)Many large and small companies have studied and applied autonomous driving systems to the real world. However, much of it is still lacking. In fact, it is easy to find news of accidents of vehicles with autonomous driving ...
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(2022-04-04)Computer vision has made massive progress in recent years, thanks to hardware and algorithms development. Most methods are performance-driven meanwhile have a lack of consideration for energy efficiency. This dissertation ...
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Cars, particularly manually-driven cars, are one of the most commonly used modes of transportation today. However, millions of people are either killed or left with disabilities annually due to road traffic accidents caused ...
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(2019-04-04)Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming dramatically useful. Despite the great success of the generic object detection methods trained on ground-to-ground images, a huge performance ...
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(2022-06-03)Currently, research on securing safety by unmanned systems is being actively conducted. Development is underway to reduce costs and secure worker safety by filling safety-related personnel’s blind spots and reducing their ...
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(2021-11-23)Remote sensing (RS), a critical technology for large-scale-monitoring Earth-observing systems (EOS), plays an important role in Earth science and other related fields where physical, biological, and chemical properties of ...
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(2022-10-28)Computer Vision is witnessing unprecedented growth over the past few years mainly because of the applications of deep learning methods to computer vision tasks like classification, action recognition, segmentation, and ...
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(2021-12-09)This thesis investigates dense Light Detection and Ranging (LiDAR) sensors as a method for object detection and tracking in stationary infrastructure-like applications. A literature review of existing works is conducted, ...
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(2023-07-11)In this project, we seek to provide a computer vision model that can detect and classify traffic signs and lights for autonomous vehicles. Such a model enables proper information transmission to the controller so that ...