Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

Multi-sensor fusion is for enhancing environment perception and 3D reconstruction in self-
driving and robot navigation. Calibration between sensors is the precondition of effective …

Due to the difference of data modalities, it'sa very challenging task to find the feature
correspondences between 2D and 3D data in LiDAR-Camera calibration. In existing works …

The demand for multimodal sensing systems for robotics is growing due to the increase in
robustness, reliability and accuracy offered by these systems. These systems also need to …

This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so,
I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online …

The camera-Lidar sensor fusion plays an important role in autonomous navigation research.
Nowadays, the automatic calibration of these sensors remains a significant challenge in …

The Rolling Shutter (RS) mechanism is widely used in consumer-grade cameras, which are
essential parts in smartphones and autonomous vehicles. RS leads to image distortion …

The technological advancement of sensors and computational power has opened a new
chapter in machine learning for robotics applications, especially in image classification …

Radar is among the most popular sensors in modern Intelligent Transportation Systems
(ITSs), enabling weather-robust perception. The orientation and position of the traffic radar …

Extrinsic parameter calibration is the foundation and prerequisite for LiDAR and camera
data fusion of the autonomous system. This technology is widely used in fields such as …