A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
[article]
2020
arXiv
pre-print
Preserved Fulltext
This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. ...
Previous online calibration methods usually need prior knowledge of rough initial values for optimization. ...
CONCLUSION In this paper, we presented a novel semantic online initialization calibration method, SOIC, that can estimate the extrinsic calibration parameters between LiDAR and camera sensors. ...
arXiv:2003.04260v1
fatcat:co7nubfmkrfyrou2ahuaf7dyua
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper proposes SemCal: an automatic, targetless, extrinsic calibration algorithm for a LiDAR and camera system using semantic information. ...
We also introduce a semantic-based initial calibration method using 2D MI-based image registration and Perspective-n-Point (PnP) solver. ...
Semantic understanding is essential for autonomous systems, and several methods have been proposed to utilize semantic information to calibrate LiDAR and camera [1] [3] [2] , [20] . ...
arXiv:2109.10270v1
fatcat:dkvd7ms3pvfjdmeohff6xsdxx4
CFNet: LiDAR-Camera Registration Using Calibration Flow Network
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
As an essential procedure of data fusion, LiDAR-camera calibration is critical for autonomous vehicles and robot navigation. ...
This paper proposed an online LiDAR-camera extrinsic calibration algorithm that combines the DL and the geometry methods. ...
In SOIC, 2D Semantic Centroid (2D-SC) and 3D Semantic Centroid (3D-SC) are calculated using semantic segmentation of image and LiDAR point cloud. ...
arXiv:2104.11907v1
fatcat:zbxotypuebdb3ehpw4hz4ydysy
CFNet: LiDAR-Camera Registration Using Calibration Flow Network
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
As an essential procedure of data fusion, LiDAR-camera calibration is critical for autonomous vehicles and robot navigation. ...
In this paper, we propose a novel CNN-based LiDAR-camera extrinsic calibration algorithm named CFNet. ...
SOIC: Semantic Online Initialization and Calibration for LiDAR and
Camera. arXiv 2020, arXiv:2003.04260.
44. Zhu, Y.; Li, C.; Zhang, Y. ...
doi:10.3390/s21238112
pmid:34884116
fatcat:pl3oc2dlurfrja35h7caqhc4yy
CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We propose a novel deep learning-driven technique (CalibDNN) for accurate calibration among multimodal sensor, specifically LiDAR-Camera pairs. ...
Current perception systems often carry multimodal imagers and sensors such as 2D cameras and 3D LiDAR sensors. ...
SOIC, proposed by Wang et al., 16 employed semantic centroids to convert the initialization problem to the PnP problem. ...
arXiv:2103.14793v1
fatcat:fum7izb4uzewze76yk5f2bhkxu