Results 21 to 30 of about 6,077 (166)
OL-SLAM: A Robust and Versatile System of Object Localization and SLAM
This paper proposes a real-time, versatile Simultaneous Localization and Mapping (SLAM) and object localization system, which fuses measurements from LiDAR, camera, Inertial Measurement Unit (IMU), and Global Positioning System (GPS).
Chao Chen +6 more
doaj +1 more source
Low drift visual inertial odometry with UWB aided for indoor localization
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
Models and Methods for Inertial and Visual Odometry
Smartphones have become a part of everyday modern life. Their presence and capabilities have changed the way a lot of tasks are performed. Among them is navigation, how to find a way from one point to another.
Cortes Reina, Santiago
core +1 more source
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
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 SLAM USING NONLINEAR OPTIMIZATION [PDF]
The fusion of visual and inertial cues has become popular in robotics due to the complementary nature of the two sensing modalities. While most fusion strategies to date rely on filtering schemes, the visual robotics community has recently turned to non ...
Konolige, Kurt +19 more
core +1 more source
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
VILO SLAM: Tightly Coupled Binocular Vision–Inertia SLAM Combined with LiDAR
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
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
Objective speckle velocimetry for autonomous vehicle odometry [PDF]
Speckle velocimetry is investigated as a means of determining odometry data with potential for application on autonomous robotic vehicles. The technique described here relies on the integration of translation measurements made by normalized cross ...
Charrett, Thomas O. H. +3 more
core +1 more source
STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry [PDF]
Accurate and robust odometry is critical for mobile mapping and autonomous navigation, particularly in complex environments where single-sensor approaches struggle.
P. Trybała +5 more
doaj +1 more source

