Sökning: "machine vision"

Visar resultat 1 - 5 av 149 avhandlingar innehållade orden machine vision.

1. 1. Camera Modelling and Calibration for Machine Vision Applications

   Författare :Anders Ryberg; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Camera Calibration; Camera Modelling; Stereo Vision; Machine Vision; Pose Measurement; Computer Vision;

   Sammanfattning : This thesis describes camera based methods for determining positions and orientations of objects in 3D-space. These methods are useful in several applications where camera images are used for acquiring information about the surroundings, and the targeted application here is guiding robots using a camera mounted on the robot hand. LÄS MER

3. 2. Visual Attention in Active Vision Systems : Attending, Classifying and Manipulating Objects

   Författare :Babak Rasolzadeh; Jan-Olof Eklundh; Ales Leonardis; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visual attention; saliency map; compter vision; robotics; active vision; machine learning;

   Sammanfattning : This thesis has presented a computational model for the combination of bottom-up and top-down attentional mechanisms. Furthermore, the use for this model has been demonstrated in a variety of applications of machine and robotic vision. LÄS MER

4. 3. Channel-Coded Feature Maps for Computer Vision and Machine Learning

   Författare :Erik Jonsson; Michael Felsberg; Florentin Wörgötter; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; machine learning; object recognition; pose estimation; Image analysis; Bildanalys;

   Sammanfattning : 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. LÄS MER

5. 4. Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach

   Författare :Martin Ahrnbom; Mathematical Imaging Group; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep learning; Machine learning; Traffic Surveillance; Traffic Safety; Object detection; Camera Calibration; Multi-Target Tracking; Convolutional Neural Networks; Smart cities;

   Sammanfattning : Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. LÄS MER

7. 5. Terrain machine learning

   Författare :Viktor Wiberg; Martin Servin; Tomas Nordfjell; Eddie Wadbro; Todor Stoyanov; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; multibody dynamics simulation; rough terrain vehicle; autonomous vehicles; robotics control; discrete element method; sim-to-real; reinforcement learning; fysik; Physics;

   Sammanfattning : The use of heavy vehicles in rough terrain is vital in the industry but has negative implications for the climate and ecosystem. In addition, the demand for improved efficiency underscores the need to enhance these vehicles' navigation capabilities. LÄS MER