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

Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

30.7K
Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
30.7K
Crystal Field Theory - Tetrahedral and Square Planar Complexes02:46

Crystal Field Theory - Tetrahedral and Square Planar Complexes

48.3K
Tetrahedral Complexes
Crystal field theory (CFT) is applicable to molecules in geometries other than octahedral. In octahedral complexes, the lobes of the dx2−y2 and dz2 orbitals point directly at the ligands. For tetrahedral complexes, the d orbitals remain in place, but with only four ligands located between the axes. None of the orbitals points directly at the tetrahedral ligands. However, the dx2−y2 and dz2 orbitals (along the Cartesian axes) overlap with the ligands less than the dxy,...
48.3K
Finding Electric Potential From Electric Field01:13

Finding Electric Potential From Electric Field

5.4K
For a system of charges, it is easy to calculate the system's potential because potential is a scalar quantity. However, in some instances where calculating the electric field is more straightforward than finding the potential, the electric field is used to calculate the system's potential. For a positive charge, the electric field is radially outward, and the potential is positive at any finite distance from the positive charge. In such an electric field, the motion away from the...
5.4K
Determining Electric Field From Electric Potential01:12

Determining Electric Field From Electric Potential

4.9K
The electric field and electric potential are related to each other. If the electric field at various points in the region of interest is known, it can be used to calculate the electric potential difference between any two points. Similarly, if the electric potential is known for various points, then it is possible to calculate the electric field.
In general, regardless of whether the electric field is uniform, it points in the direction of decreasing potential because the force on a positive...
4.9K
Electric Potential Energy in a Uniform Electric Field01:09

Electric Potential Energy in a Uniform Electric Field

6.3K
When an electric field accelerates a free positive charge, it acquires kinetic energy. This process is analogous to an object being accelerated by a gravitational field as if the charge were going down an electrical hill where its electric potential energy is converted into kinetic energy, although, of course, the sources of the forces are very different. The electrostatic or Coulomb force acting on the positive test charge is conservative, which means that the work done on a test charge is...
6.3K
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

1.9K
Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Donor- and unit-specific factors influencing hemolysis in stored canine and feline packed red blood cells.

Frontiers in veterinary science·2026
Same author

Roadmapping stroke healthcare in Colombia: a comprehensive telestroke network evaluation.

BMC medical informatics and decision making·2026
Same author

PARP2 deficiency impairs pancreatic cancer progression by promoting genomic instability and antitumor immunity.

Science advances·2026
Same author

Increasing Kidney Transplant Volume With Higher Kidney Donor Risk Index Kidneys: A Call for Action in the United States.

Transplantation·2026
Same author

Outcomes of Kidney Transplants From Donors With Stage 3 Acute Kidney Injury Requiring Dialysis: A National Cohort Study.

Clinical transplantation·2026
Same author

Exploring metabolomic clues in diabetic retinopathy: a pilot study.

Acta diabetologica·2026
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: Jan 21, 2026

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

13.0K

Implementation of a Potential Field-Based Decision-Making Algorithm on Autonomous Vehicles for Driving in Complex

Carlos Martínez1, Felipe Jiménez2

  • 1Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28031 Madrid, Spain. carlos.mgarcia@upm.es.

Sensors (Basel, Switzerland)
|July 31, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel potential field-based path planning algorithm for autonomous vehicles. The algorithm effectively handles complex scenarios and ensures safe, reliable navigation by considering environmental dynamics and road characteristics.

Keywords:
autonomous vehiclesintelligent transport systemspath-planningvehicle perception

More Related Videos

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.9K
Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
06:51

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Published on: July 29, 2016

8.3K

Related Experiment Videos

Last Updated: Jan 21, 2026

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

13.0K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.9K
Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
06:51

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Published on: July 29, 2016

8.3K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Autonomous driving technology is rapidly advancing, with perception systems well-developed.
  • High-level decision-making in challenging scenarios remains a significant hurdle for autonomous vehicles.
  • Safety, reliability, predictability, user acceptance, and comfort are critical requirements.

Purpose of the Study:

  • To present a robust path planning algorithm for autonomous vehicles.
  • To address challenges in high-level decision-making for autonomous driving.
  • To ensure safety, reliability, and adaptability in complex driving environments.

Main Methods:

  • Development of a path planning algorithm utilizing potential fields.
  • Adjustment of potential field models to suit vehicle dynamics and environmental conditions.
  • Integration of road characteristics (e.g., speed limits, curvature) and obstacle data into the algorithm.

Main Results:

  • The algorithm demonstrated effectiveness in handling unexpected scenarios.
  • The system's response was tailored to road characteristics and the presence of other road users.
  • Satisfactory results were achieved during real-world testing on an automated vehicle.

Conclusions:

  • The proposed potential field-based algorithm offers a promising solution for autonomous vehicle path planning.
  • The algorithm's adaptability to environmental dynamics and vehicle characteristics enhances its reliability.
  • Successful real-world testing validates the algorithm's potential for practical implementation in autonomous driving.