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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

322
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
322
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

400
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
400
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

47
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
47
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

179
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
179
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

568
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
568
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

642
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
642

You might also read

Related Articles

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

Sort by
Same author

4-Sulfanyl-1,2,3-triazole as a Powerful Ligand in CuAAC to Synthesize 1,4-Substituted 1,2,3-Triazoles Under Solvent-Free and Low Catalyst Loading.

Molecules (Basel, Switzerland)·2026
Same author

Molecular architecture of the tumor microenvironment caused by <i>BRCA1</i> and <i>BRCA2</i> somatic mutations in human lung adenocarcinoma.

eLife·2026
Same author

Tunnelling Nanotube-Mediated Lysosome Sharing Promotes Osteocyte Survival via Transcellular Autophagy.

Cell proliferation·2026
Same author

Expression Characteristics of Gustatory Receptor Genes in <i>Galeruca daurica</i> (Coleoptera: Chrysomelidae) and Adult Behavioral and Electrophysiological Responses to Host Metabolites.

Insects·2026
Same author

Dendrobium officinale polysaccharide-spermidine composite hydrogels: Tunable rheological properties and improved in vitro colonic fermentation.

International journal of biological macromolecules·2026
Same author

Deep learning-enhanced transparent transducer-based photoacoustic microscopy with improved SNR and resolution.

Optics letters·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: Jun 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Intelligent Vehicle Path Planning Based on Optimized A* Algorithm.

Liang Chu1, Yilin Wang1, Shibo Li1

  • 1State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized A* algorithm for intelligent driving, enhancing path planning accuracy and robustness in complex environments. The new method significantly reduces traversed nodes, turning angles, and path length for safer autonomous navigation.

Keywords:
A* algorithmintelligent drivingobstacle raster coefficientpath planningturning penalty function

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

Related Experiment Videos

Last Updated: Jun 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

Area of Science:

  • Robotics and Autonomous Systems
  • Artificial Intelligence
  • Computer Science

Background:

  • Intelligent driving technology necessitates accurate path planning for unmanned vehicles.
  • Traditional path planning algorithms struggle with complex, dynamic road conditions, impacting accuracy and robustness.

Purpose of the Study:

  • To develop an optimized global programming algorithm for unmanned vehicle path planning.
  • To enhance path accuracy, robustness, and efficiency compared to traditional methods like A*.

Main Methods:

  • Integrated turning penalty function and obstacle raster coefficient into the search cost function.
  • Developed an efficient search strategy to handle sparse obstacles and reduce spatial complexity.
  • Implemented a discrete smoothing optimization for redundant node elimination and path length reduction.

Main Results:

  • The optimized A* algorithm demonstrated significantly improved path planning performance.
  • Reduced traversed nodes by 84%, total turning angle by 39%, and overall path length.
  • Simulation results confirmed enhanced security and rationality of the planned paths.

Conclusions:

  • The proposed optimized A* algorithm offers advanced path planning capabilities for intelligent driving.
  • The method effectively addresses challenges in complex environments, improving autonomous vehicle navigation.
  • This approach provides a more efficient, secure, and rational solution for unmanned vehicle path planning.