9 citations · 20 across the 12 of their papers we have counts for
12 papers
ViBA: Implicit Bundle Adjustment with Geometric and Temporal Consistency for Robust Visual Matching
Xiaoji Niu, Yuqing Wang, Yan Wang +2
Most existing image keypoint detection and description methods rely on datasets with accurate pose and depth annotations, limiting scalability and generalization, and often degradi…
PA-LVIO: Real-Time LiDAR-Visual-Inertial Odometry and Mapping with Pose-Only Bundle Adjustment
Hailiang Tang, Tisheng Zhang, Liqiang Wang +3
Real-time LiDAR-visual-inertial odometry and mapping is crucial for navigation and planning tasks in intelligent transportation systems. This study presents a pose-only bundle adju…
i2Nav-Robot: A Large-Scale Indoor-Outdoor Robot Dataset for Multi-Sensor Fusion Navigation
Hailiang Tang, Tisheng Zhang, Liqiang Wang +9
Accurate and reliable navigation is crucial for autonomous unmanned ground vehicles (UGVs). However, current UGV datasets fall short in meeting the demands for advancing navigation…
MR-ULINS: A Tightly-Coupled UWB-LiDAR-Inertial Estimator with Multi-Epoch Outlier Rejection
Tisheng Zhang, Man Yuan, Linfu Wei +3
The LiDAR-inertial odometry (LIO) and the ultra-wideband (UWB) have been integrated together to achieve driftless positioning in global navigation satellite system (GNSS)-denied en…
MSC-LIO: An MSCKF-Based LiDAR-Inertial Odometry with Same-Plane Cluster Tracking
Tisheng Zhang, Man Yuan, Linfu Wei +2
The multi-state constraint Kalman filter (MSCKF) has been proven to be more efficient than graph optimization for visual-based odometry while with similar accuracy. However, it has…
BA-LINS: A Frame-to-Frame Bundle Adjustment for LiDAR-Inertial Navigation
Hailiang Tang, Tisheng Zhang, Liqiang Wang +2
Bundle Adjustment (BA) has been proven to improve the accuracy of the LiDAR mapping. However, the BA method has not yet been properly employed in a dead-reckoning navigation system…
SE-LIO: Semantics-enhanced Solid-State-LiDAR-Inertial Odometry for Tree-rich Environments
Tisheng Zhang, Linfu Wei, Hailiang Tang +3
In this letter, we propose a semantics-enhanced solid-state-LiDAR-inertial odometry (SE-LIO) in tree-rich environments. Multiple LiDAR frames are first merged and compensated with…
FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator
Hailiang Tang, Tisheng Zhang, Xiaoji Niu +3
Most of the existing LiDAR-inertial navigation systems are based on frame-to-map registrations, leading to inconsistency in state estimation. The newest solid-state LiDAR with a no…
PO-VINS: An Efficient and Robust Pose-Only Visual-Inertial State Estimator With LiDAR Enhancement
Hailiang Tang, Tisheng Zhang, Liqiang Wang +2
The pose adjustment (PA) with a pose-only visual representation has been proven equivalent to the bundle adjustment (BA), while significantly improving the computational efficiency…
IC-GVINS: A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System for Wheeled Robot
Hailiang Tang, Tisheng Zhang, Xiaoji Niu +2
In this letter, we present a robust, real-time, inertial navigation system (INS)-Centric GNSS-Visual-Inertial navigation system (IC-GVINS) for wheeled robot, in which the precise I…
OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
Hailiang Tang, Xiaoji Niu, Tisheng Zhang +2
Odometer has been proven to significantly improve the accuracy of the Global Navigation Satellite System / Inertial Navigation System (GNSS/INS) integrated vehicle navigation in GN…
Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization
Hailiang Tang, Xiaoji Niu, Tisheng Zhang +2
Inertial measurement unit (IMU) preintegration is widely used in factor graph optimization (FGO); e.g., in visual-inertial navigation system and global navigation satellite system/…