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The Virtual Autonomous Navigation Environment: High Fidelity Simulations of Sensor, Environment, and Terramechanics for Robotics

机译:虚拟自主导航环境:用于机器人的传感器,环境和机器人的高保真模拟

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The Virtual Autonomous Navigation Environment (VANE) is a modeling and simulation tool that is being developed by the US Army Engineer Research and Development Center (ERDC) to support the design, development, and testing of autonomy algorithms for intelligent ground vehicles. The VANE is an open architecture, modular simulation that is compatible with desktop and parallel computing. It consists of a set of independent models for sensors, vehicle dynamics, and terramechanics. The VANE uses high-fidelity environment geometry and ray-tracing to simulate GPS, Light Detection and Ranging (LIDAR), and camera sensors. Inertial sensors are simulated using the dynamics engine, which also interfaces with the Vehicle Terrain Interaction (VTI). The VTI is a validated mobility model that gives performance predictions for both hard and soft soils for tracked and wheeled vehicles. These models interact through a run time interface in a high performance distributed computing environment and can be used to simulate environmental effects on sensors and mobility.
机译:虚拟自主导航环境(叶片)是由美国陆军工程师研发中心(ERDC)开发的建模和仿真工具,以支持智能地车辆的自主算法的设计,开发和测试。叶片是一个开放式架构,模块化模拟,兼容桌面和并行计算。它包括一组用于传感器,车辆动态和机器人的独立模型。叶片采用高保真环境几何和射线跟踪来模拟GPS,光检测和测距(LIDAR)和相机传感器。使用动力学引擎模拟惯性传感器,该发动机也与车辆地形交互(VTI)接口。 VTI是一个经过验证的移动模型,为跟踪和轮式车辆的硬度和软土具有验证的移动模型。这些模型通过高性能分布式计算环境中的运行时界面进行交互,可用于模拟传感器和移动性的环境影响。

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