Research on tightly coupled visual inertial SLAM based on point and line features

Jiajia Lu; Yue Shen; Qilin Hang; Yue Tang

doi:10.1007/s00530-024-01482-x

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Research on tightly coupled visual inertial SLAM based on point and line features

Jiajia Lu Yue Shen Qilin Hang Yue Tang

Year: 2024 Journal: Multimedia Systems Vol: 30 (5) Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-024-01482-x

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Keywords:

Computer science Point (geometry) Line (geometry) Artificial intelligence Computer vision Inertial frame of reference Computer graphics Computer graphics (images) Visual cryptography Visualization Cryptography Algorithm Mathematics Physics Secret sharing Geometry

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Research on tightly coupled visual inertial SLAM based on point and line features

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