Accurate intersensor spatiotemporal transformation is the fundamental prerequisite for
multisensor fusion. However, traditional discrete-time calibration methods have natural …

Nowadays, the low-cost micro electro mechanical systems (MEMSs)-based inertial
measurement units (IMU) and light detection and ranging (LiDAR) are commercially …

Railway transportation safety relies on the accurate location, detection, and measurement of
rail surface defects. However, the absence of image and point cloud fusion methods to …

Modern visual perception techniques often rely on multiple heterogeneous sensors to
achieve accurate and robust estimates. Knowledge of their relative positions is a mandatory …

Nowadays, LiDAR-IMU systems have progressively prevailed in mobile robotic applications
due to their excellent complementary characteristics. With the steady decline and shrinking …

This paper proposes a novel camera–LiDAR calibration method that utilizes an iterative
random sampling and intersection line-based quality evaluation using a foldable plane pair …

Industrial robots provide a new production mode for automatic assembly. However, the
motion accuracy of robots is hard to meet high-precision assembly requirements in many …

Precise and robust extrinsic parameter calibration is fundamental for LiDAR-camera multi-
modal sensing applications. However, most existing methods assume that sensors have the …

Existing target segmentation methods are typically considered easy to implement and yield
satisfactory results. However, they generally cannot adapt to a new environment without …

The 3D scanning system used in some engineering requires regular calibration, achieving a
concise and efficient calibration process is crucial. A conventional method requires accurate …