Results 21 to 30 of about 9,731 (149)
Low drift visual inertial odometry with UWB aided for indoor localization
IET Communications, 2022 Visual inertial odometry (VIO) would have an estimation drift problem in the process of long trajectory for indoor localization, especially in the absence of loop detection or in unknown complex scenes.
Bo Gao +3 more
doaj +1 more source
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
Drones, 2023 Recently, deep learning methods and multisensory fusion have been applied to address odometry challenges in unmanned ground vehicles (UGVs). In this paper, we propose an end-to-end visual-lidar-inertial odometry framework to enhance the accuracy of pose ...
Zhiyao Xiao, Guobao Zhang
doaj +1 more source
Keyframe-based visual–inertial odometry using nonlinear optimization [PDF]
, 2014 Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities offer complementary characteristics that make them the ideal choice for accurate visual–inertial odometry or simultaneous localization and ...
Bosse, M +4 more
core +1 more source
Sensors, 2017 Simultaneous localization and mapping (SLAM) is emerging as a prominent issue in computer vision and next-generation core technology for robots, autonomous navigation and augmented reality.
Jin-Chun Piao, Shin-Dug Kim
doaj +1 more source
Visual-Inertial Odometry Using High Flying Altitude Drone Datasets
Drones, 2023 Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study
Anand George +4 more
doaj +1 more source
VILO SLAM: Tightly Coupled Binocular Vision–Inertia SLAM Combined with LiDAR
Sensors, 2023 For the existing visual–inertial SLAM algorithm, when the robot is moving at a constant speed or purely rotating and encounters scenes with insufficient visual features, problems of low accuracy and poor robustness arise.
Gang Peng +6 more
doaj +1 more source
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios [PDF]
, 2018 Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual ...
Horstschaefer, Timo +3 more
core +1 more source
Agronomy, 2022 Autonomous navigation in greenhouses requires agricultural robots to localize and generate a globally consistent map of surroundings in real-time. However, accurate and robust localization and mapping are still challenging for agricultural robots due to ...
Yaxuan Yan +4 more
doaj +1 more source
Visual-Inertial Mapping with Non-Linear Factor Recovery
, 2020 Cameras and inertial measurement units are complementary sensors for ego-motion estimation and environment mapping. Their combination makes visual-inertial odometry (VIO) systems more accurate and robust.
Cremers, Daniel +4 more
core +1 more source
STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesAccurate and robust odometry is critical for mobile mapping and autonomous navigation, particularly in complex environments where single-sensor approaches struggle.
P. Trybała +5 more
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