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Computer vision for road user detection and localisation in intelligent transportation system infrastructure

By: Series: Aalto University publication series. Doctoral theses ; 98/2023Publication details: Helsingfors : Aalto University. Department of Mechanical Engineering, 2023Description: 88 sISBN:
  • 9789526413273
Subject(s): Online resources: Notes: Härtill 3 uppsatser Dissertation note: Diss. (sammanfattning) Helsingfors : Aalto-universitetet, 2023 Abstract: Demand for intelligent transportation systems is on the rise. Intelligent features have the potential to solve numerous problems related to congestion, pollution, as well as safety of transportation. In order to implement different intelligent transport system applications, a great amount of real-time traffic information is needed for robust and reliable decision-making. This thesis explores solutions for utilising roadside cameras as real-time data acquisition tools for smart traffic applications. The research of this thesis was focused on solving problems related to practical applicability of computer vision for road user detection and localisation in roadside camera views. Experimental testing was carried out to validate the proposed methods, as well as produce results highlighting the capabilities of computer vision solutions for intelligent road user monitoring applications.
Item type: Dissertation
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Härtill 3 uppsatser

Diss. (sammanfattning) Helsingfors : Aalto-universitetet, 2023

Demand for intelligent transportation systems is on the rise. Intelligent features have the potential to solve numerous problems related to congestion, pollution, as well as safety of transportation. In order to implement different intelligent transport system applications, a great amount of real-time traffic information is needed for robust and reliable decision-making. This thesis explores solutions for utilising roadside cameras as real-time data acquisition tools for smart traffic applications. The research of this thesis was focused on solving problems related to practical applicability of computer vision for road user detection and localisation in roadside camera views. Experimental testing was carried out to validate the proposed methods, as well as produce results highlighting the capabilities of computer vision solutions for intelligent road user monitoring applications.