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Nonlinearly Optimized Dual Stereo Visual Odometry Fusion
Visual odometry (VO) is an important problem studied in robotics and computer vision in which the relative camera motion is computed through visual...
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Enhancing Low-light Images for Monocular Visual Odometry in Challenging Lighting Conditions
Visual odometry (VO) estimates the robot’s current position based on feature matching or brightness variation between images, making it primarily...
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Visual odometry with neuromorphic resonator networks
Visual odometry (VO) is a method used to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating...
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Human Visual Attention Mechanism-Inspired Point-and-Line Stereo Visual Odometry for Environments with Uneven Distributed Features
Visual odometry is critical in visual simultaneous localization and map** for robot navigation. However, the pose estimation performance of most...
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A New Visual Front-end Combining KLT with Descriptor Matching for Visual-inertial Odometry
Currently, feature-based visual-inertial odometry (VIO) predominantly employs descriptor-matching or Kanade-Lucas-Tomasi (KLT)-based methods for...
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Resilient Simultaneous Localization and Map** Fusing Ultra Wide Band Range Measurements and Visual Odometry
In this paper we consider a Simultaneous Localization and Map** (SLAM) problem for a moving agent using Visual Odometry (VO) while measuring the...
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Real-Time Visual-Inertial Odometry Based on Point-Line Feature Fusion
AbstractTo improve the localization accuracy and tracking robustness of monocular feature-based visual SLAM systems in low-texture environments, a...
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Lidar-Visual-Inertial Odometry with Online Extrinsic Calibration
To achieve precise localization, autonomous vehicles usually rely on a multi-sensor perception system surrounding the mobile platform. Calibration is...
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Keypoint Heatmap Guided Self-Supervised Monocular Visual Odometry
Visual odometry is an important part of visual simultaneous localization and map** (SLAM) system. In recent years, with the development of deep...
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Visual-inertial-actuator odometry for multirotor UAVs with rotor drag and external disturbance
Accurate knowledge of an unmanned aerial vehicle’s (UAV) state and external forces is crucial for motion control. One method to obtain this...
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High-frame rate homography and visual odometry by tracking binary features from the focal plane
Robotics faces a long-standing obstacle in which the speed of the vision system’s scene understanding is insufficient, impeding the robot’s ability...
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A Visual Odometry Using Convolutional Neural Network
Visual odometry is important to simultaneous localization and map**. It is extensively used in driverless, navigation and other fields recently....
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VISUAL ODOMETRY FOR PRECISION LUNAR LANDING
As part of its historic 2022 mission, Intuitive Machines has developed a state-ofthe- art precision landing and hazard avoidance (PLHA) system that...
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PLI-VIO: Real-time Monocular Visual-inertial Odometry Using Point and Line Interrelated Features
As a popular technology, visual-inertial odometry (VIO) has been widely applied in many fields such as autonomous robots and unmanned aerial vehicle...
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IQ-VIO: adaptive visual inertial odometry via interference quantization under dynamic environments
Vision-based localization is susceptible to interference from dynamic objects in the environment, resulting in decreased localization accuracy and...
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Unsupervised Monocular Visual Odometry with Lightweight Depth Architecture
Absolute scale estimation has been a challenging problem of monocular visual odometry using unsupervised technique. In this paper, we propose a novel...
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Visual odometry algorithm based on geometric prior for dynamic environments
Simultaneous localization and map** (SLAM) is considered to be an important way for some smart devices to perform automatic path planning, and many...
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Curvature Scale Space LiDAR Odometry And Map** (LOAM)
The LiDAR Odometry and Map** (LOAM) algorithm ranks in second place in the Karlsruhe Institute of Technology and Toyota Technological Institute...
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LiDAR odometry survey: recent advancements and remaining challenges
Odometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system are unavailable....
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A tightly coupled monocular visual lidar odometry with loop closure
Simultaneous localization and map** (SLAM) is a fundamental requirement for mobile robots like self-driving cars. Vision-based methods have...
