18 citations · 46 across the 9 of their papers we have counts for
15 papers
Distributed Visual-Inertial Cooperative Localization
Pengxiang Zhu, Patrick Geneva, Wei Ren +1
In this paper we present a consistent and distributed state estimator for multi-robot cooperative localization (CL) which efficiently fuses environmental features and loop-closure…
LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Xingxing Zuo, Yulin Yang, Patrick Geneva +4
Multi-sensor fusion of multi-modal measurements from commodity inertial, visual and LiDAR sensors to provide robust and accurate 6DOF pose estimation holds great potential in robot…
MIMC-VINS: A Versatile and Resilient Multi-IMU Multi-Camera Visual-Inertial Navigation System
Kevin Eckenhoff, Patrick Geneva, Guoquan Huang
As cameras and inertial sensors are becoming ubiquitous in mobile devices and robots, it holds great potential to design visual-inertial navigation systems (VINS) for efficient ver…
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
Xingxing Zuo, Mingming Zhang, Yiming Chen +3
While visual localization or SLAM has witnessed great progress in past decades, when deploying it on a mobile robot in practice, few works have explicitly considered the kinematic…
LIC-Fusion: LiDAR-Inertial-Camera Odometry
Xingxing Zuo, Patrick Geneva, Woosik Lee +2
This paper presents a tightly-coupled multi-sensor fusion algorithm termed LiDAR-inertial-camera fusion (LIC-Fusion), which efficiently fuses IMU measurements, sparse visual featur…
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
Nathaniel Merrill, Guoquan Huang
Traditional attempts for loop closure detection typically use hand-crafted features, relying on geometric and visual information only, whereas more modern approaches tend to use se…