Sökning: "Robust Localization"
Visar resultat 16 - 20 av 57 uppsatser innehållade orden Robust Localization.
16. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. LÄS MER
17. Characterizing Pose Uncertainty in Semantic Perception Pipelines : Leveraging semantic information to improve path planning in dynamic environments
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Mobile robots possess complex perception pipelines composed of visual and depth sensors which allow them to understand their location and the world around them and build models of this world. Real-time motion planning of mobile robots in complex environments requires the knowledge of the properties of the perception pipeline so that accurate, robust and safe robot operations can be performed. LÄS MER
18. Real Time Lidar and ICP-Based Odometry in Dynamic Environments
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : A robust and highly accurate positioning system is required to transition to fully autonomous vehicles in society. This thesis investigates the potential for lidar sensors to be a part of a localization system, adding redundancy in case of an outage in a global navigation satellite system GNSS. LÄS MER
19. Cross-layer optimization for joint visual-inertial localization and object detection on resource-constrained devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The expectations in performing high-performance cyber-physical applications in resource-constrained devices are continuously increasing. The available hardware is still a main limitation in this context, both in terms of computation capability and energy limits. LÄS MER
20. Cross-layer optimization for visual-inertial localization on resource-constrained devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Mobile devices are increasingly expected to support high-performance cyber- physical applications in resource-constrained devices, such as drones and rovers. However, the gap between hardware limitations of these devices and application requirements is still prohibitive – conflicting goals such as robust, accurate, and efficient execution must be managed carefully to achieve acceptable operation. LÄS MER
