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Showing result 6 - 10 of 25 essays matching the above criteria.

1. 6. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Erik Warberg; [2023]
   Keywords : Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

   Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE

3. 7. Development of a Deep-space-capable Navigation System for the Hugin Space Exploration Technology Demonstration Satellite Mission

   University essay from Luleå tekniska universitet/Rymdteknik

   Author : Axel Widenfelt; [2021]
   Keywords : Autonomous optical navigation; Autonom optisk navigering;

   Abstract : Development of autonomous in-fight navigation capability for a CubeSat mission is a challenging task, often ignored in favour of relying on a Global Navigation Satellite System (GNSS). However, the potential value in solving this problem becomes great for deep-space missions where such networks have limited coverage. READ MORE

4. 8. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

   University essay from KTH/Mekatronik

   Author : Filip Elander; [2021]
   Keywords : Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

   Abstract : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. READ MORE

5. 9. Benchmarking VisualInertial Odometry Filterbased Methods for Vehicles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Muhammad Zahid; [2021]
   Keywords : visual inertial odometry; VIO; sensor fusion; state estimation; recursive filter; navigation; autonomous vehicles; visuell tröghetsodometri; VIO; sensorfusion; tillståndsuppskattning; rekursivt filter; navigering; autonoma fordon;

   Abstract : Autonomous navigation has the opportunity to make roads safer and help perform search and rescue missions by reducing human error. Odometry methods are essential to allow for autonomous navigation because they estimate how the robot will move based on the available sensors. READ MORE

6. 10. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Andrea Caraffa; [2021]
   Keywords : Deep Learning; Monocular Visual Odometry; Computer Vision; Autonomous Underwater Navigation; Autonomous Underwater Vehicle; Djupinlärning; Monokulär Visuell Odometri; Datorseende; Autonom Undervattensnavigering; Autonomt Undervattensfordon;

   Abstract : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. READ MORE