Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

426
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
426
Multi-Step Reactions02:31

Multi-Step Reactions

8.8K
Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
8.8K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.9K
Insertion of Multi-pass Transmembrane Proteins in the RER01:29

Insertion of Multi-pass Transmembrane Proteins in the RER

18.5K
The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
The multipass transmembrane proteins are the type IV integral membrane proteins with multiple topogenic sequences determining their spatial arrangement in the ER membrane. Nearly all multipass proteins lack a cleavable signal sequence and use...
18.5K
Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

6.6K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
6.6K
Glassware Calibration01:11

Glassware Calibration

1.5K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimal Multi-View Surface Normal Estimation Using Affine Correspondences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

Efficient Recovery of Essential Matrix From Two Affine Correspondences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

17.2K

Accurate Calibration of Multi-LiDAR-Multi-Camera Systems.

Zoltán Pusztai1,2, Iván Eichhardt3,4, Levente Hajder5,6

  • 1Geometric Computer Vision Group, Machine Perception Laboratory, MTA SZTAKI, Kende st. 17, 1111 Budapest, Hungary. zpusztai@sztaki.hu.

Sensors (Basel, Switzerland)
|July 5, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a novel method for calibrating cameras and LiDAR sensors using ordinary boxes. The technique refines sensor alignment for autonomous driving systems, improving perception accuracy.

Keywords:
LiDARLiDAR camera systemautonomous drivingcameraextrinsic calibrationmachine perception

More Related Videos

SpOT the Correct Tissue Every Time in Multi-tissue Blocks
06:53

SpOT the Correct Tissue Every Time in Multi-tissue Blocks

Published on: May 31, 2015

12.3K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K

Related Experiment Videos

Last Updated: Feb 8, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

17.2K
SpOT the Correct Tissue Every Time in Multi-tissue Blocks
06:53

SpOT the Correct Tissue Every Time in Multi-tissue Blocks

Published on: May 31, 2015

12.3K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K

Area of Science:

  • Robotics and Computer Vision
  • Sensor Fusion for Autonomous Systems

Background:

  • Autonomous driving relies heavily on accurate machine perception.
  • Extrinsic calibration between cameras and LiDAR sensors is crucial for sensor fusion.

Purpose of the Study:

  • To develop a robust and generalizable method for camera-LiDAR extrinsic calibration.
  • To improve the accuracy of perception systems in autonomous vehicles.

Main Methods:

  • Utilizes ordinary boxes as calibration targets.
  • Employs an iterative refinement process converging to the box in LiDAR point clouds.
  • Incorporates a bundle adjustment-like minimization for multi-sensor systems.
  • Presents a method for 2D car chassis bounding box detection from LiDAR data.

Main Results:

  • The proposed method achieves high accuracy on both synthetic and real-world data.
  • Outperforms existing state-of-the-art calibration techniques.
  • Demonstrates independence from specific LiDAR and camera types, requiring only intrinsic camera parameters.

Conclusions:

  • The developed calibration technique is effective and versatile for autonomous driving perception systems.
  • Enables accurate sensor alignment, contributing to enhanced vehicle safety and performance.
  • Provides a foundation for robust sensor fusion in complex driving environments.