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In this paper, we propose an efficient feature matching method for point and line features by fusing IMU information with visual information. The key ideas are ...
To address the problem of feature matching, this paper proposes a method of fast feature matching in visual-inertial SLAM by IMU pre-integration.
Feb 26, 2021 · In this paper, we propose an efficient drift-less SLAM method by re-identifying existing features from a spatial-temporal sensitive sub-global map.
Nov 15, 2023 · The proposed visual-inertial feature tracking method that combines inertial measurement unit (IMU) calibration, feature matching, and prediction algorithms.
A Simultaneous Localization and Mapping (SLAM) system estimates a robot's instantaneous location using onboard sensory measurements, e.g., LiDAR (Light ...
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Jan 3, 2023 · An algorithm of using inertial measurement unit (IMU) to optimize the efficiency of image feature point matching is proposed.
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To reduce the feature matching time in visual based multi-robot Simultaneous Localization and Mapping (SLAM), a feature matching algorithm based on map ...
Mar 8, 2024 · How does Visual SLAM work? How is it different from normal SLAM? What are the 6 main steps of a Visual SLAM system? Let's find out!
The pre-computation further reduces the latency of good feature matching. The good-feature-matching enhanced ORB-SLAM is referred to as GF-ORB-SLAM, and GF ...
Because of no feature extraction and matching, it is fast to run with a small computational effort. However, it is susceptible to lighting conditions and ...