Results 21 to 30 of about 2,170,338 (154)
OL-SLAM: A Robust and Versatile System of Object Localization and SLAM
Sensors, 2023 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
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
Learned Inertial Odometry for Autonomous Drone Racing [PDF]
, 2023 Inertial odometry is an attractive solution to the problem of state estimation for agile quadrotor flight. It is inexpensive, lightweight, and it is not affected by perceptual degradation.
Cioffi, Giovanni +3 more
core +4 more sources
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
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
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
Models and Methods for Inertial and Visual Odometry
, 2021 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
Visual-LiDAR Odometry Aided by Reduced IMU
ISPRS International Journal of Geo-Information, 2016 This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro.
Yashar Balazadegan Sarvrood +2 more
doaj +1 more source
KEYFRAME-BASED VISUAL-INERTIAL SLAM USING NONLINEAR OPTIMIZATION [PDF]
, 2013 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