1 citations · 1 across the 7 of their papers we have counts for
8 papers
The Goldbach exceptional set: an exponent 7/12 and conditional refinement
János Pintz, Ingo Althöfer
Let \(E(X)\) count the even integers between \(4\) and \(X\) that are not sums of two primes. We combine Pintz's explicit formula for the major arcs with the exponential-sum estima…
UAV-MapFusion: RTK-Aligned Uncertainty-Aware Coarse-to-Fine Multi-Session UAV Mapping
Feng Pan, Chunran Zheng, Bing Xue +4
Large-scale point cloud maps are essential for robotics and spatial intelligence tasks. UAVs provide an efficient means for large-scale map acquisition; however, due to limited fli…
MIL-LC: A Robust Magnetometer-Inertial-LiDAR Fusion Multimodal Localization Framework
Qiyang Lyu, Zhenyu Wu, Wei Wang +2
Localization in challenging environments, such as GNSS-denied, geometrically repetitive, or textureless scenes commonly found in offices, hotels, and underground parking facilities…
RoSLAC: Robust Simultaneous Localization and Calibration of Multiple Magnetometers
Qiyang Lyu, Zhenyu Wu, Wei Wang +2
Localization of autonomous mobile robots (AMRs) in enclosed or semi-enclosed environments such as offices, hotels, hospitals, indoor parking facilities, and underground spaces wher…
L2M-Calib: One-key Calibration Method for LiDAR and Multiple Magnetic Sensors
Qiyang Lyu, Wei Wang, Zhenyu Wu +3
Multimodal sensor fusion enables robust environmental perception by leveraging complementary information from heterogeneous sensing modalities. However, accurate calibration is a c…
UniLGL: Learning Uniform Place Recognition for FOV-limited/Panoramic LiDAR Global Localization
Hongming Shen, Xun Chen, Yulin Hui +5
Existing LGL methods typically consider only partial information (e.g., geometric features) from LiDAR observations or are designed for homogeneous LiDAR sensors, overlooking the u…
IDF-MFL: Infrastructure-free and Drift-free Magnetic Field Localization for Mobile Robot
Hongming Shen, Zhenyu Wu, Wei Wang +3
In recent years, infrastructure-based localization methods have achieved significant progress thanks to their reliable and drift-free localization capability. However, the pre-inst…
CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling
Hongming Shen, Zhenyu Wu, Yulin Hui +6
In recent years, LiDAR-based localization and mapping methods have achieved significant progress thanks to their reliable and real-time localization capability. Considering single…