Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets
and human efforts, while learning-based approaches resort to iterative refinement for …

In this article, an automatic and targetless extrinsic calibration method is proposed for the
light detection and ranging (LiDAR)–camera system, which can calibrate extrinsic …

The research on extrinsic calibration between Light Detection and Ranging (LiDAR) and
camera are being promoted to a more accurate, automatic and generic manner. Since deep …

LiDAR-camera extrinsic calibration (LCEC) is crucial for data fusion in intelligent vehicles.
Offline, target-based approaches have long been the preferred choice in this field. However …

In this work, we present a novel target-based lidar-camera extrinsic calibration methodology
that can be used for non-overlapping field of view (FOV) sensors. Contrary to previous work …

Determining the extrinsic parameter between multiple light detection and rangings (LiDARs)
and cameras is essential for autonomous robots, especially for solid-state LiDARs, where …

Sensor fusion is vital for the safe and robust operation of autonomous vehicles. Accurate
extrinsic sensor to sensor calibration is necessary to accurately fuse multiple sensor's data …

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 …

Reliable real-time extrinsic parameters of 3D Light Detection and Ranging (LiDAR) and
camera are a key component of multi-modal perception systems. However, extrinsic …

Extrinsic calibration on a LiDAR-camera system is an essential task for the advanced
perception application for the intelligent vehicle. In the offline situation, a calibration object …