Accurate LiDAR-camera online calibration is critical for modern autonomous vehicles and
robot platforms. Dominant methods heavily rely on hand-crafted features, which are not …

The advancement of agricultural technology has increasingly positioned robotic detection
and localization techniques at the forefront, ensuring critical support for agricultural …

Artificial-delay control is a method in which state and input measurements collected at an
immediate past time instant (ie, artificially delayed) are used to compensate the uncertain …

State estimation for robots navigating in GPS-denied and perceptually-degraded
environments, such as underground tunnels, mines and planetary sub-surface voids [1] …

Rigorous boresight calibration between light detection and ranging (LiDAR) and the camera
is crucial for geometry and optical information fusion in Earth observation and robotic …

Robust and reliable perception of autonomous systems often relies on fusion of
heterogeneous sensors, which poses great challenges for multisensor calibration. In this …

Robust perception is an essential component to enable long-term operation of mobile
robots. It depends on failure resilience through reliable sensor data and pre-processing, as …

The integration of multiple solid state LiDARs could achieve similar performance as a
spinning LiDAR, by focusing on the dedicated area of interests. However, due to their small …

This paper describes a set of software modules and algorithms for maritime object detection
and tracking. The approach described here is designed to work in conjunction with various …

Nowadays, Nonlinear Least-Squares embodies the foundation of many Robotics and
Computer Vision systems. The research community deeply investigated this topic in the last …