3 citations · 3 across the 6 of their papers we have counts for
7 papers
NAS-GS: Noise-Aware Sonar Gaussian Splatting
Shida Xu, Jingqi Jiang, Jonatan Scharff Willners +1
Underwater sonar imaging plays a crucial role in various applications, including autonomous navigation in murky water, marine archaeology, and environmental monitoring. However, th…
CURL-SLAM: Continuous and Compact LiDAR Mapping
Kaicheng Zhang, Shida Xu, Yining Ding +2
This paper studies 3D LiDAR mapping with a focus on developing an updatable and localizable map representation that enables continuity, compactness and consistency in 3D maps. Trad…
Digital Beamforming Enhanced Radar Odometry
Jingqi Jiang, Shida Xu, Kaicheng Zhang +3
Radar has become an essential sensor for autonomous navigation, especially in challenging environments where camera and LiDAR sensors fail. 4D single-chip millimeter-wave radar sys…
AQUA-SLAM: Tightly-Coupled Underwater Acoustic-Visual-Inertial SLAM with Sensor Calibration
Shida Xu, Kaicheng Zhang, Sen Wang
Underwater environments pose significant challenges for visual Simultaneous Localization and Mapping (SLAM) systems due to limited visibility, inadequate illumination, and sporadic…
CURL: Continuous, Ultra-compact Representation for LiDAR
Kaicheng Zhang, Ziyang Hong, Shida Xu +1
Increasing the density of the 3D LiDAR point cloud is appealing for many applications in robotics. However, high-density LiDAR sensors are usually costly and still limited to a lev…
From market-ready ROVs to low-cost AUVs
Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10
Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…
Underwater inspection and intervention dataset
Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas +5
This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention task…