Most modern consumer-grade cameras are often equipped with a rolling shutter
mechanism, which is becoming increasingly important in computer vision, robotics and …

As sensor calibration plays an important role in visual-inertial sensor fusion, this article
performs an in-depth investigation of online self-calibration for robust and accurate visual …

Localization and mapping with heterogeneous multisensor fusion have been prevalent in
recent years. To adequately fuse multimodal sensor measurements received at different time …

In this letter, we propose an efficient continuous-time LiDAR-Inertial-Camera Odometry,
utilizing non-uniform B-splines to tightly couple measurements from the LiDAR, IMU, and …

For positioning tasks of mobile robots in indoor environments, the emerging positioning
technique based on visual inertial odometry (VIO) is heavily influenced by light and suffers …

Robust multisensor fusion of multi-modal measurements such as IMUs, wheel encoders,
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …

We present a real-time visual-inertial dense mapping method capable of performing
incremental 3D mesh reconstruction with high quality using only sequential monocular …

The application of consumer-grade rolling-shutter (RS) cameras in visual inertial odometry
(VIO) systems deserves attention. In previous works, VIO systems with RS cameras usually …

RGB-D cameras such as RealSense and Structure Sensors have been widely used in most
robotics systems. This paper presents a system for estimating the trajectory of an RGB-D …

It is challenging to obtain accurate trajectories with standard camera visual odometry (VO) in
environments with weak textures and light variations. This article introduces a novel …