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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

643
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
643
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.7K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.7K
Fluid Movement Between Compartments01:18

Fluid Movement Between Compartments

514
The force applied by fluids against a surface, known as hydrostatic pressure, initiates the transfer of fluid among different compartments. Within our blood vessels, the blood's hydrostatic pressure is a result of the heart's pumping action. At the arteriolar end of capillaries, hydrostatic pressure (capillary blood pressure) exceeds the opposing colloid osmotic pressure created primarily by plasma proteins like albumin. This discrepancy in pressure propels plasma and nutrients from the...
514
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

78
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
78
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

44
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
44
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

48
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...
48

You might also read

Related Articles

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

Sort by
Same author

Total organic acids from Cuscuta chinensis Lam. Modulate MDM2 to promote neurogenesis and alleviate depression.

Journal of ethnopharmacology·2026
Same author

AI-Enabled Mapping of Structure-Hazard Relationships for Emerging Contaminants.

Environment & health (Washington, D.C.)·2026
Same author

Predicting the progression of proliferative diabetic retinopathy: Pathophysiology, imaging phenotypes, and determinants of disease persistence despite therapy.

Survey of ophthalmology·2026
Same author

Pictilisib and nutrient stress synergize to induce methuosis via PI(4,5)P<sub>2</sub>-dependent macropinocytic dysregulation in cancer cells.

Cell death & disease·2026
Same author

Digital adiabatic evolution is universally accurate.

Nature communications·2026
Same author

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties.

Reports on progress in physics. Physical Society (Great Britain)·2026

Related Experiment Video

Updated: Jun 28, 2025

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

14.4K

ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments.

Dong An, Hanqing Wang, Wenguan Wang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |April 9, 2024
    PubMed
    Summary

    This study introduces ETPNav, a new framework for vision-language navigation in continuous environments (VLN-CE). ETPNav enhances agent navigation planning and obstacle avoidance, significantly improving performance on benchmark datasets.

    More Related Videos

    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
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.1K

    Related Experiment Videos

    Last Updated: Jun 28, 2025

    Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
    09:01

    Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

    Published on: March 27, 2013

    14.4K
    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
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.1K

    Area of Science:

    • Embodied Artificial Intelligence
    • Robotics
    • Computer Vision

    Background:

    • Vision-language navigation (VLN) is essential for embodied AI, enabling agents to follow instructions in environments.
    • Existing VLN methods face challenges in continuous, real-world environments.

    Purpose of the Study:

    • To propose a robust framework, ETPNav, for vision-language navigation in continuous environments (VLN-CE).
    • To enhance agent capabilities in environmental abstraction, long-range planning, and obstacle-avoiding control.

    Main Methods:

    • ETPNav employs online topological mapping using self-organizing waypoints for environmental abstraction.
    • A transformer-based cross-modal planner generates navigation plans from topological maps and instructions.
    • An obstacle-avoiding controller with a trial-and-error heuristic ensures smooth navigation.

    Main Results:

    • ETPNav demonstrates superior performance in vision-language navigation within continuous environments.
    • The framework achieved over 10% and 20% improvements on the R2R-CE and RxR-CE datasets, respectively.
    • Experimental results validate the effectiveness of the proposed ETPNav method.

    Conclusions:

    • ETPNav offers a significant advancement in vision-language navigation for continuous environments.
    • The proposed method effectively addresses challenges in long-range planning and obstacle avoidance.
    • ETPNav paves the way for more capable embodied AI agents in real-world applications.