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Ziqing Ai

dblp:397/8713 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 62% 3D vision · 38%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › neural rendering
3d gaussian splatting
0.912025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025
Computer vision › 3D vision
3d scene reconstruction
0.912025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025
Robotics › Robot navigation and mapping › SLAM › visual SLAM
monocular SLAM
0.912025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025
Robotics › Robot navigation and mapping
SLAM
0.912025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025
Robotics › Robot navigation and mapping › SLAM › multi-sensor SLAM
visual-inertial SLAM
0.912025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025
Robotics › Robot navigation and mapping › robot mapping
large-scale mapping
0.312025
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes · IEEE Trans. Robotics 2025

Methods — techniques the papers use, named apart from their topics

visual-inertial odometry · 0.9gaussian splatting · 0.9
YearPublicationVenuePosition
2025 VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes
Ke Wu 0021, Muer Tie, Ziqing Ai, Zhongxue Gan 0001, Wenchao Ding 0001
IEEE Trans. Robotics4