Although multiview platforms have enhanced work efficiency in mining teleoperation
systems, they also induce “cognitive tunneling” and depth-detection issues for operators …

We address joint extrinsic calibration of lidar, camera and radar sensors. To simplify
calibration, we propose a single calibration target design for all three modalities, and …

We present a novel open-source tool for extrinsic calibration of radar, camera and lidar.
Unlike currently available offerings, our tool facilitates joint extrinsic calibration of all three …

Camera-radar fusion has been applied in obstacle detection or moving object tracking for
autonomous vehicles and advanced driver assistance systems. When utilizing multiple …

Event-based cameras, also known as biologically inspired visual sensors, are capable of
capturing real-time scene changes efficiently. Unlike traditional frame-based cameras, event …

Robust environmental perception is a crucial parameter for the development of autonomous
ground vehicle applications, especially in the field of agricultural robotics which is one of the …

Autonomous navigation relies on the crucial aspect of perceiving the environment to ensure
the safe navigation of an autonomous platform, taking into consideration surrounding …

Reported traffic accidents often occur due to rear-view blind spots. While there are many
existing commercial solutions available, there is still many possible improvements. To …

The fusion of sensors is a task to improve the recognition performance of obstacles in an
autonomous vehicle system. For the fusion of sensors, extrinsic parameter calibration with 6 …

Multi-sensor information fusion is widely used in the field of unmanned aerial vehicles
obstacle avoidance flight, particularly in millimeter-wave (MMW) radar and camera fusion …