Sökning: "trajectory segmentation"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden trajectory segmentation.

1. 1. MEILI : Multiple Day Travel Behaviour Data Collection, Automation and Analysis

   Författare :Adrian Corneliu Prelipcean; Yusak Octavius Susilo; Gyözö Gidofalvi; Zachary Pattersson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; multiple day travel diary collection; trajectory segmentation; travel mode destination and purpose inference; travel diary collection system comparison; travel pattern stability and variability over time; Transportvetenskap; Transport Science; Computer Science; Datalogi; Geodesy and Geoinformatics; Geodesi och geoinformatik;

   Sammanfattning : Researchers' pursuit for the better understanding of the dynamics of travel and travel behaviour led to a constant advance in data collection methods. One such data collection method, the travel diary, is a common proxy for travel behaviour and its use has a long history in the transportation research community. LÄS MER

3. 2. Capturing travel entities to facilitate travel behaviour analysis : A case study on generating travel diaries from trajectories fused with accelerometer readings

   Författare :Adrian Corneliu Prelipcean; Yusak Octavius Susilo; Gyözö Gidofalvi; Stefan van der Spek; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; travel diary automation; trajectory segmentation; travel data collection; travel diary collection system evaluation and comparison; Geodesy and Geoinformatics; Geodesi och geoinformatik;

   Sammanfattning : The increase in population, accompanied by an increase in the availability of travel opportunities have kindled the interest in understanding how people make use of the space around them and their opportunities. Understanding the travel behaviour of individuals and groups is difficult because of two main factors: the travel behaviour's wide coverage, which encompasses different research areas, all of which model different aspects of travel behaviour, and the difficulty of obtaining travel diaries from large groups of respondents, which is imperative for analysing travel behaviour and patterns. LÄS MER

4. 3. Human motion prediction using wearable sensors and machine Learning

   Författare :Binbin Su; Elena M. Gutierrez-Farewik; Christian Smith; Neil Cronin; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wearable sensors; gait segmentation; lower limb angular velocity; machine learning; deep learning; reinforcement learning; Engineering Mechanics; Teknisk mekanik;

   Sammanfattning : Accurately measuring and predicting human movement is important in many contexts, such as in rehabilitation and the design of assistive devices. Thanks to the development and availability of a wide variety of sensors, scientists study human movement in many settings and capture characteristic properties unique to individuals as well as to larger study populations. LÄS MER

5. 4. Semantic mapping using virtual sensors and fusion of aerial images with sensor data from a ground vehicle

   Författare :Martin Persson; Achim Lilienthal; Javier González; Örebro universitet; []
   Nyckelord :semantic mapping; aerial image; mobile robot; supervised learning; semi-supervised learning; TECHNOLOGY; TEKNIKVETENSKAP; Industriell mätteknik; Industrial Measurement Technology;

   Sammanfattning : In this thesis, semantic mapping is understood to be the process of putting a tag or label on objects or regions in a map. This label should be interpretable by and have a meaning for a human. The use of semantic information has several application areas in mobile robotics. LÄS MER

7. 5. Intention recognition in human machine collaborative systems

   Författare :Daniel Aarno; Danica Kragic; Darius Burschka; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Robotics; Human-machine collaboration; Virtual fixture; hidden Markov model; Machine learning; Artificial intelligence; Computer science; Datavetenskap;

   Sammanfattning : Robotsystem har använts flitigt under de senaste årtiondena för att skapa automationslösningar i ett flertal områden. De flesta nuvarande automationslösningarna är begränsade av att uppgifterna de kan lösa måste vara repetitiva och förutsägbara. LÄS MER