Results 31 to 40 of about 23,972 (233)
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
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data [PDF]
In this work, we propose a robust network-in-the-loop control system for autonomous navigation and landing of an Unmanned-Aerial-Vehicle (UAV). To estimate the UAV’s absolute pose, we develop a deep neural network (DNN) architecture for visual-inertial ...
bateux +11 more
core +1 more source
Visual inertial odometry and lidar inertial odometry for mobile robot [PDF]
Municipal infrastructure inspection and maintenance are vital to keep the integrity and safe operation of large-scale infrastructure such as pipelines, bridges and tunnels. For example, regular inspection and assessment of tunnels are essential to prevent any possible leakage or worse, collapse.
openaire +2 more sources
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
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
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
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
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]
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
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

