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

Survival Tree01:19

Survival Tree

58
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
58

You might also read

Related Articles

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

Sort by
Same author

Reamed and unreamed intramedullary nailing for the treatment of open and closed tibial fractures: a subgroup analysis of randomised trials.

International orthopaedics·2009
Same author

Selective COX-2 inhibitor versus nonselective COX-1 and COX-2 inhibitor in the prevention of heterotopic ossification after total hip arthroplasty: a meta-analysis of randomised trials.

International orthopaedics·2009
Same author

[Study on evaluating sex determining region of the Y as an engrafting track of BMSCs transplantation for repairing osteonecrosis of the femoral head of rabbit].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2009
Same author

Positive association between benign familial infantile convulsions and LGI4.

Brain & development·2009
Same author

Catalytic enantioselective synthesis of chiral phthalides by efficient reductive cyclization of 2-acylarylcarboxylates under aqueous transfer hydrogenation conditions.

Organic letters·2009
Same author

Significance of urinary liver-fatty acid-binding protein in cardiac catheterization in patients with coronary artery disease.

Internal medicine (Tokyo, Japan)·2009

Related Experiment Video

Updated: Jun 4, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K

Escape Path Planning for Unmanned Surface Vehicle Based on Blind Navigation Rapidly Exploring Random Tree* Fusion

Bo Zhang1,2,3,4, Shanlong Lu2,3, Qing Li1,4

  • 1School of Automation, Beijing Information Science and Technology University, Beijing 100192, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary

This study introduces Blind Navigation Rapidly Exploring Random Tree* (BN-RRT*) for Unmanned Surface Vehicles (USVs) to escape confined spaces. The algorithm enhances path planning speed and reduces path length using GPS, collision sensors, and an active collision mechanism.

Keywords:
Artificial Potential Field (APF)Blind Navigation Rapidly Exploring Random Tree* (BN-RRT*)Rapidly Exploring Random Trees (RRT*)escape strategypath planning

More Related Videos

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.6K
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

Related Experiment Videos

Last Updated: Jun 4, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.6K
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

Area of Science:

  • Robotics
  • Autonomous Systems
  • Navigation

Background:

  • Unmanned Surface Vehicles (USVs) require robust navigation strategies for autonomous operation.
  • Escaping constrained environments presents significant challenges for USV path planning.
  • Existing algorithms may struggle with efficiency and success rates in complex scenarios.

Purpose of the Study:

  • To develop an efficient path planning algorithm for USVs to autonomously escape constrained environments.
  • To enhance the RRT* (Rapidly Exploring Random Tree*) method for improved navigation in confined spaces.
  • To minimize sensor requirements for autonomous escape maneuvers.

Main Methods:

  • Proposed the Blind Navigation Rapidly Exploring Random Tree* (BN-RRT*) algorithm, an adaptation of RRT*.
  • Integrated GPS positioning and collision sensor data for navigation.
  • Combined Artificial Potential Field (APF) for directional guidance and an active collision mechanism for obstacle identification.
  • Implemented an obstacle memory mechanism to prevent revisiting erroneous areas.

Main Results:

  • The BN-RRT* algorithm demonstrated significant improvements in planning speed compared to RRT, RRT*, and APF-RRT*.
  • The proposed method achieved a notable reduction in path length for escape maneuvers.
  • Experimental validation in MATLAB confirmed the algorithm's effectiveness.

Conclusions:

  • BN-RRT* offers a more efficient and successful approach for USVs navigating out of constrained environments.
  • The integration of APF and active collision mechanisms enhances directional control and obstacle avoidance.
  • The obstacle memory mechanism improves the reliability of the escape path planning process.