Sökning: "graph perception"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden graph perception.

1. 1. Perception de la géométrie de l'environment pour la navigation autonome

   Författare :Cyrille Berger; Simon Lacroix; France l'Université Toulouse Laboratoire d'Analyse et d'Architecture des Systèmes (LAAS); []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Le but de la recherche en robotique mobile est de donner aux robots la capacité d'accomplir des missions dans un environnement qui n'est pas parfaitement connu. Mission, qui consiste en l'exécution d'un certain nombre d'actions élémentaires (déplacement, manipulation d'objets... LÄS MER

3. 2. Visualizing Financial Futures

   Författare :Susanna Heyman; Henrik Artman; Inga-Lill Söderberg; Mario Romero Vega; Jenny Säve-Söderbergh; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Human-computer interaction; personal finance; fintech; behavioral economics; retirement saving; persuasive technology; financial literacy; data visualization; graph perception; external cognition; distributed cognition; Människa-datorinteraktion; Human-computer Interaction;

   Sammanfattning : Research on financial decision aids, systems designed to help people make financial decisions, is sparse. Previous research has often focused on the theoretical soundness of the advice that the systems provide. LÄS MER

4. 3. Structured Representations for Explainable Deep Learning

   Författare :Federico Baldassarre; Hossein Azizpour; Josephine Sullivan; Kevin Smith; Hamed Pirsiavash; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Datalogi; Computer Science;

   Sammanfattning : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. LÄS MER

5. 4. Multi-Agent Mission Planning and Execution for Small Autonomous Underwater Vehicles

   Författare :Özer Özkahraman; Petter Ögren; João Tasso de Figueiredo Borges de Sousa; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Underwater vehicles; collaborative; robotics; auv; navigation; coverage; search; slam; graph-slam; communication; control barrier functions; control; swarms; caging; capture; Datalogi; Computer Science;

   Sammanfattning : Our planet is mostly covered in water, most of it still unexplored.In order to understand our environment better, oceanographers have been mapping and monitoring these waters using ship-mounted sensors and wired vehicles with limited range compared to the vastness of the oceans. LÄS MER

7. 5. Learning to Analyze Visual Data Streams for Environment Perception

   Författare :Emil Brissman; Michael Felsberg; Bastian Leibe; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : A mobile robot, instructed by a human operator, acts in an environment with many other objects. However, for an autonomous robot, human instructions should be minimal and only high-level instructions, such as the ultimate task or destination. LÄS MER