Sökning: "Inertial navigation"

Visar resultat 6 - 10 av 95 uppsatser innehållade orden Inertial navigation.

1. 6. Road Condition Analysis For Autonomous Haulers

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Karl Söderlund; Simon Friberg; [2023]
   Nyckelord :;

   Sammanfattning : With autonomous vehicles becoming more common and established, there are some problems to overcome before their full potential can be reached. One of these problems is the lack of information about the condition of the road, which traditionally would be acquired from the driver operating the vehicle. LÄS MER

3. 7. Improving the guidance, navigation and control design of the KNATTE platform

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Lars Lundström; [2023]
   Nyckelord :Multisensor Data Fusion; Nonlinear Kalman Filter; Neural Network;

   Sammanfattning : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. LÄS MER

4. 8. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

   Master-uppsats, KTH/Tillämpad fysik

   Författare :Cassandra Mannila; [2023]
   Nyckelord :Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

   Sammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER

5. 9. Testing for verification and validation of an onboard orbit determination system exploiting GNSS : A nanosatellite application for HERMES-SP

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Clara Nermark; [2023]
   Nyckelord :Onboard orbit determination system; GNSS; nanosatellite; testing; verification and validation; Ombord banbestämning; GNSS; nanosatellit; testning; verifikation och validering;

   Sammanfattning : When developing products for space, including nanosatellites, the verification and validation process is a mandatory part of any project conducted within the European space industry. Within such a process, testing is a method for verification and validation. LÄS MER

7. 10. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Isabella Luppi; [2023]
   Nyckelord :Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

   Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER