Sökning: "John Folkesson"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden John Folkesson.

1. 1. Data-driven Approaches to Uncertainty Modelling for SLAM in the Open Sea

   Författare :Ignacio Torroba; John Folkesson; Patric Jensfelt; John Leonard; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Datalogi; Computer Science;

   Sammanfattning : Autonomous underwater vehicles (AUVs) equipped with multibeam echo-sounders have become indispensable tools for bathymetric mapping due to their ability to reach seabed regions inaccessible to surface vessels. However, the closer proximity to the survey area comes at the expense of a growing error in the AUV global pose estimate due to the lack of prior maps or a geo-referencing system underwater, such as GPS. LÄS MER

3. 2. Simultaneous localization and mapping with robots

   Författare :John Folkesson; Henrik I. Christensen; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer science; Computer science; Datalogi;

   Sammanfattning : A fundamental competence of any mobile robot system is the ability to remain localized while operating in an environment. For unknown/partially known environments there is a need to combine localization with automatic mapping to facilitate the localization process. LÄS MER

4. 3. Unsupervised construction of 4D semantic maps in a long-term autonomy scenario

   Författare :Rares Ambrus; Patric Jensfelt; John Folkesson; Andreas Nüchter; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mobile robotics; autonomous systems; perception; computer vision; RGB-D object segmentation; modelling and recognition; semantic segmentation; long-term autonomy; mapping; temporal modeling; Computer Science; Datalogi;

   Sammanfattning : Robots are operating for longer times and collecting much more data than just a few years ago. In this setting we are interested in exploring ways of modeling the environment, segmenting out areas of interest and keeping track of the segmentations over time, with the purpose of building 4D models (i.e. LÄS MER

5. 4. Object Instance Detection and Dynamics Modeling in a Long-Term Mobile Robot Context

   Författare :Nils Bore; John Folkesson; Joydeep Biswas; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robotics; long-term; mapping; tracking; unsupervised learning; estimation; object modeling; Computer Science; Datalogi;

   Sammanfattning : In the last years, simple service robots such as autonomous vacuum cleaners and lawn mowers have become commercially available and increasingly common. The next generation of service robots should perform more advanced tasks, such as to clean up objects. LÄS MER

7. 5. Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty

   Författare :Joonatan Mänttäri; John Folkesson; Michael Felsberg; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Trajectory Prediction; Computer Vision; Autonomous Driving; Deep Learning; Interpretability; Computer Science; Datalogi;

   Sammanfattning : Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full autonomy. Self-driving cars introduce many advantages, including increased traffic safety and added ride-sharing capabilities which reduce environmental effects. LÄS MER