Automatic targetless LiDAR–camera calibration: a survey
The recent trend of fusing complementary data from LiDARs and cameras for more accurate
perception has made the extrinsic calibration between the two sensors critically important …
perception has made the extrinsic calibration between the two sensors critically important …
Artificial Intelligence-Assisted Robustness of Optoelectronics for Automated Driving: A Review
EJC Nacpil, J Han, I Jeon - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Optoelectronic sensing systems are used in automated vehicles for in-cabin features such
as driver attention and distraction monitoring. As automated driving technology continues to …
as driver attention and distraction monitoring. As automated driving technology continues to …
Soac: Spatio-temporal overlap-aware multi-sensor calibration using neural radiance fields
In rapidly-evolving domains such as autonomous driving the use of multiple sensors with
different modalities is crucial to ensure high operational precision and stability. To correctly …
different modalities is crucial to ensure high operational precision and stability. To correctly …
Deep learning for camera calibration and beyond: A survey
Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …
captured sequences, which is crucial for computer vision and robotics. However …
Batch differentiable pose refinement for in-the-wild camera/lidar extrinsic calibration
Abstract Accurate camera to LiDAR (Light Detection and Ranging) extrinsic calibration is
important for robotic tasks carrying out tight sensor fusion—such as target tracking and …
important for robotic tasks carrying out tight sensor fusion—such as target tracking and …
Robust calibration of vehicle solid-state LiDAR-camera perception system using line-weighted correspondences in natural environments
With the rapid development of autonomous driving and SLAM technology, the perception
system of a vehicle heavily relies on laser and image sensors to capture the real-world …
system of a vehicle heavily relies on laser and image sensors to capture the real-world …
A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration
Z Tan, X Zhang, S Teng, L Wang, F Gao - Sensors, 2024 - mdpi.com
Extrinsic parameter calibration is the foundation and prerequisite for LiDAR and camera
data fusion of the autonomous system. This technology is widely used in fields such as …
data fusion of the autonomous system. This technology is widely used in fields such as …
Robust online calibration of LiDAR and camera based on cross-modal graph neural network
J Zhu, X Li, Q Xu, Z Sun - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Accurate spatial parameters of LiDAR and camera is a prerequisite for information
consistency and robust online calibration is the foundation of long-term effective fusion in …
consistency and robust online calibration is the foundation of long-term effective fusion in …
Mins: Efficient and robust multisensor-aided inertial navigation system
Robust multisensor fusion of multi-modal measurements such as IMUs, wheel encoders,
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …
ACLC: Automatic Calibration for non-repetitive scanning LiDAR-Camera system based on point cloud noise optimization
J Cui, J Niu, Y He, D Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recent nonrepetitive scanning (NRS)-light detection and ranging (LiDAR), using rosette
or Lissajous curves, has higher spatial scanning efficiency and lower price than traditional …
or Lissajous curves, has higher spatial scanning efficiency and lower price than traditional …