Maintenance window scheduled to begin at February 14th 2200 est. until 0400 est. February 15th

(e.g. yourname@email.com)

Forgot Password?

    Defense Visual Information Distribution Service Logo

    ERDC Modeling & Simulation in Support of Unmanned Ground Vehicles

    Advanced Embed Example

    Add the following CSS to the header block of your HTML document.

    Then add the mark-up below to the body block of the same document.

    VICKSBURG, MISSISSIPPI, UNITED STATES

    05.12.2022

    Video by Christopher Kieffer 

    U.S. Army Corps of Engineers, Engineer Research and Development Center   

    The Virtual Autonomous Navigation Environment (VANE) is a suite of modeling and simulation tools developed by the U.S. Army Engineer Research and Development Center (ERDC). Users can leverage VANE to analyze environmental effects on an autonomous vehicle system, from sensors and algorithms to tire-soil interactions and the vehicle's mechanical performance. VANE was created from ERDC's near-surface phenomenology and sensor research that supported IED detection in the conflicts in Iraq and Afghanistan and its rich expertise in ground vehicle mobility research dating back to World War II.

    Unmanned ground vehicles (UGVs) must undergo rigorous testing to ensure their autonomy is reliable under challenging conditions. VANE's physics-based simulations are particularly valuable in UGV development. Using VANE, DoD researchers can explore how autonomous systems will behave in various operationally relevant environmental conditions that are often difficult to replicate with physical testing. This virtual testing capability is valuable across the complete robotic life cycle by enabling both early stage autonomy prototyping and final performance evaluation.

    LEAVE A COMMENT

    VIDEO INFO

    Date Taken: 05.12.2022
    Date Posted: 06.02.2022 16:35
    Category: Package
    Video ID: 843113
    VIRIN: 220512-A-SM316-1001
    Filename: DOD_108974906
    Length: 00:07:50
    Location: VICKSBURG, MISSISSIPPI, US

    Video Analytics


    Downloads: 22
    High-Res. Downloads: 22

    PUBLIC DOMAIN