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 …

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 …

Many self-driving vehicles use a multi-sensor system comprising multiple 3D LiDAR and
radar sensors for robust all-round perception. Precise calibration of this multi-sensor system …

Autonomous navigation of mobile robots is often based on information from a variety of
heterogeneous sensors; hence, extrinsic sensor calibration is a fundamental step in the …

In this paper, we address the problem of extrinsic calibration of a camera and a 3D Light
Detection and Ranging (LiDAR) sensor using a checkerboard. Unlike previous works which …

Fusion of heterogeneous exteroceptive sensors is the most efficient and effective path to the
representation of the environment precisely, as it can compromise various drawbacks of …

Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems
in mobile robots. Most calibration methods rely on laborious manual operations and …

Environment perception is a key component of any autonomous system and is often based
on a heterogeneous set of sensors and fusion thereof, for which extrinsic sensor calibration …

Many approaches for camera and LiDAR calibration are presented in literature but none of
them estimates all intrinsic and extrinsic parameters simultaneously and therefore optimally …

Reliable operation in inclement weather is essential to the deployment of safe autonomous
vehicles (AVs). Robustness and reliability can be achieved by fusing data from the standard …