Most sensor setups for onboard autonomous perception are composed of LiDARs and
vision systems, as they provide complementary information that improves the reliability of the …

Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …

The rigid-body transformation between a LiDAR and monocular camera is required for
sensor fusion tasks, such as SLAM. While determining such a transformation is not …

Since early 2020, COVID-19 has spread rapidly across the world. At the date of this writing,
the disease has been globally reported in 220 countries and regions, infected more than 68 …

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 …

Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a rich
view and dense measurements. However, the lack of precise calibration negatively affects …

Extrinsic calibration between LiDAR-Camera and LiDAR-LiDAR has been researched
extensively, because it is the foundation for sensor fusion. Meanwhile, many projects are …

In recent years, the rapid evolution of autonomous vehicles (AVs) has reshaped global
transportation systems, leading to an increase in autonomous shuttle applications in …

Over the past decade, many research articles have been published in the area of
autonomous driving. However, most of them focus only on a specific technological area …

Sensor-based environmental perception is a crucial part of the autonomous driving system.
In order to get an excellent perception of the surrounding environment, an intelligent system …