Search for dissertations about: "computer vision"
Showing result 21 - 25 of 472 swedish dissertations containing the words computer vision.
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21. Online Learning for Energy Efficient Navigation in Stochastic Transport Networks
Abstract : Reducing the dependence on fossil fuels in the transport sector is crucial to have a realistic chance of halting climate change. The automotive industry is, therefore, transitioning towards an electrified future at an unprecedented pace. READ MORE
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22. Expressing emotions through vibration for perception and control
Abstract : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. READ MORE
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23. Computer Vision for Traffic Surveillance Systems : Methods and Applications
Abstract : Computer vision solutions play a significant role in intelligent transportation systems (ITS) by improving traffic flow, safety and management. In addition, they feature prominently in autonomous vehicles and their future development. The main advantages of vision-based systems are their flexibility, coverage and accessibility. READ MORE
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24. Channel-Coded Feature Maps for Computer Vision and Machine Learning
Abstract : This thesis is about channel-coded feature maps applied in view-based object recognition, tracking, and machine learning. A channel-coded feature map is a soft histogram of joint spatial pixel positions and image feature values. Typical useful features include local orientation and color. READ MORE
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25. Planning and Sequencing Through Multimodal Interaction for Robot Programming
Abstract : Over the past few decades the use of industrial robots has increased the efficiency as well as the competitiveness of several sectors. Despite this fact, in many cases robot automation investments are considered to be technically challenging. In addition, for most small and medium-sized enterprises (SMEs) this process is associated with high costs. READ MORE