Results 91 to 100 of about 2,723 (200)
Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui +9 more
wiley +1 more source
Visual-Inertial Odometry of Smartphone under Manhattan World
Based on the hypothesis of the Manhattan world, we propose a tightly-coupled monocular visual-inertial odometry (VIO) system that combines structural features with point features and can run on a mobile phone in real-time.
YuAn Wang +3 more
doaj +1 more source
3D As‐Built Environments in Extended Reality Applications: A Systematic Review
This systematic review identifies BIM and game engines as the primary tools for integrating 3D as‐built environments into XR. While multi‐sensor fusion and multimodal interaction enhance immersion, persistent challenges like manual modeling and bandwidth limitations continue to hinder full ecosystem maturation.
Jesús Balado +4 more
wiley +1 more source
Indoor mobile robot localization system based on ORB-SLAM3 and multi-sensor fusion
Indoor localization is a fundamental capability for autonomous mobile robots operating in complex indoor environments, where visual degradation, sensor noise, and rotational motion often lead to accumulated drift.
Siyong Fu +5 more
doaj +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Tightly-Coupled Radar-Visual-Inertial Odometry
Visual-Inertial Odometry (VIO) is a staple for reliable state estimation on constrained and lightweight platforms due to its versatility and demonstrated performance. However, pertinent challenges regarding robust operation in dark, low-texture, obscured environments complicate the use of such methods. Alternatively, Frequency Modulated Continuous Wave
Morten C. Nissov +2 more
openaire +2 more sources
Development and testing of an event-based visual-inertial odometry algorithm [PDF]
embargoed_20270107This thesis presents the development and evaluation of an event-based visual-inertial odometry algorithm. The system processes data from an event camera and an inertial measurement unit (IMU), combining them through sensor fusion.
GRIGUOL, FRANCESCO
core
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane [PDF]
Visual-inertial-odometry has attracted extensive attention in the field of autonomous driving and robotics. The size of Field of View (FoV) plays an important role in Visual-Odometry (VO) and Visual-Inertial-Odometry (VIO), as a large FoV enables to ...
Wang, Kaiwei +5 more
core +1 more source
Testing of simulation environments for visual-inertial odometry systems [PDF]
Unmanned Ariel Vehicle (UAV) are commonly used in conditions where sending a human piloted aircraft is undesirable in dangerous environment. In today’s context, UAV are also used as a leisure activity.
Ng, Esther Shi Hui
core
CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations
The estimation error accumulation in the conventional visual inertial odometry (VIO) generally forbids accurate long-term operations. Some advanced techniques such as global pose graph optimization and loop closure demand relatively high computation and ...
Trung Nguyen +3 more
doaj +1 more source

