Results 31 to 40 of about 9,731 (149)
Improved Point–Line Visual–Inertial Odometry System Using Helmert Variance Component Estimation
Remote Sensing, 2020 Mobile platform visual image sequence inevitably has large areas with various types of weak textures, which affect the acquisition of accurate pose in the subsequent platform moving process. The visual–inertial odometry (VIO) with point features and line
Bo Xu +3 more
doaj +1 more source
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing [PDF]
, 2019 Autonomous micro aerial vehicles still struggle with fast and agile maneuvers, dynamic environments, imperfect sensing, and state estimation drift. Autonomous drone racing brings these challenges to the fore.
Dosovitskiy, Alexey +6 more
core +1 more source
Semi-Direct Point-Line Visual Inertial Odometry for MAVs
Applied Sciences, 2022 Traditional Micro-Aerial Vehicles (MAVs) are usually equipped with a low-cost Inertial Measurement Unit (IMU) and monocular cameras, how to achieve high precision and high reliability navigation under the framework of low computational complexity is the ...
Bo Gao, Baowang Lian, Chengkai Tang
doaj +1 more source
Remote Sensing, 2023 Accurate and robust localization using multi-modal sensors is crucial for autonomous driving applications. Although wheel encoder measurements can provide additional velocity information for visual-inertial odometry (VIO), the existing visual-inertial ...
Meixia Zhi +5 more
doaj +1 more source
Monocular Visual-Inertial Odometry for Agricultural Environments
IEEE Access, 2022 The accuracy of autonomous robot localization using a monocular visual-inertial odometry system (VIO) is significantly reduced in an agricultural environment compared to an urban and indoor environment due to the unstructured scenes with unstable ...
Kaiyu Song +3 more
doaj +1 more source
Deep Learning for Underwater Visual Odometry Estimation
IEEE Access, 2020 This paper addresses Visual Odometry (VO) estimation in challenging underwater scenarios. Robot visual-based navigation faces several additional difficulties in the underwater context, which severely hinder both its robustness and the possibility for ...
Bernardo Teixeira +3 more
doaj +1 more source
Improved Multi-Sensor Fusion Dynamic Odometry Based on Neural Networks
SensorsHigh-precision simultaneous localization and mapping (SLAM) in dynamic real-world environments plays a crucial role in autonomous robot navigation, self-driving cars, and drone control. To address this dynamic localization issue, in this paper, a dynamic
Lishu Luo, Fulun Peng, Longhui Dong
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Ultra-Wideband Aided Fast Localization and Mapping System
, 2017 This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera. Inspired by the fact that visual odometry (VO) system, regardless of its accuracy in the short term, still faces ...
Nguyen, Thien-Minh +3 more
core +1 more source
Comparison of Three Off-the-Shelf Visual Odometry Systems
Robotics, 2020 Positioning is an essential aspect of robot navigation, and visual odometry an important technique for continuous updating the internal information about robot position, especially indoors without GPS (Global Positioning System). Visual odometry is using
Alexandre Alapetite +4 more
doaj +1 more source
Attention and Anticipation in Fast Visual-Inertial Navigation [PDF]
, 2018 We study a Visual-Inertial Navigation (VIN) problem in which a robot needs to estimate its state using an on-board camera and an inertial sensor, without any prior knowledge of the external environment.
Carlone, Luca, Karaman, Sertac
core +2 more sources