Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …

Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

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 …

Calibration between color camera and 3D Light Detection And Ranging (LIDAR) equipment
is an essential process for data fusion. The goal of this paper is to improve the calibration …

This paper reports on an algorithm for automatic, targetless, extrinsic calibration of a lidar
and optical camera system based upon the maximization of mutual information between the …

This paper presents a new algorithm for the extrinsic calibration of a perspective camera and
an invisible 2D laser-rangefinder (LRF). The calibration is achieved by freely moving a …

This paper presents a novel way to address the extrinsic calibration problem for a system
composed of a 3D LIDAR and a camera. The relative transformation between the two …

Creating rich representations of environments requires integration of multiple sensing
modalities with complementary characteristics such as range and imaging sensors. To …

As a crucial step of sensor data fusion, sensor calibration plays a vital role in many cutting-
edge machine vision applications, such as autonomous vehicles and AR/VR. Existing …

We present a new method for joint automatic extrinsic calibration and sensor fusion for a
multimodal sensor system comprising a LIDAR and an optical camera. Our approach …