Earth and Space 2012 2012
DOI: 10.1061/9780784412190.153
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The Virtual Autonomous Navigation Environment: High Fidelity Simulations of Sensor, Environment, and Terramechanics for Robotics

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Cited by 5 publications
(3 citation statements)
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“…The second category of robotic simulator could be called "Robotic Test Environments" (RTE), in keeping with the above nomenclature. Simulators such as the Virtual Autonomous Navigation Environment (VANE) [34], MODSIM [35], Robotic Interactive Visualization Experimentation Technology (RIVET) [36], the Autonomous Navigation Virtual Environment Laboratory (ANVEL) [37], and the CARLA [26] fall into this category. RTE are typically used to evaluate the performance of a robotic system in a realistic operational setting-necessitating a higher degree of realism in the robot-environment interaction physics.…”
Section: Discussionmentioning
confidence: 99%
“…The second category of robotic simulator could be called "Robotic Test Environments" (RTE), in keeping with the above nomenclature. Simulators such as the Virtual Autonomous Navigation Environment (VANE) [34], MODSIM [35], Robotic Interactive Visualization Experimentation Technology (RIVET) [36], the Autonomous Navigation Virtual Environment Laboratory (ANVEL) [37], and the CARLA [26] fall into this category. RTE are typically used to evaluate the performance of a robotic system in a realistic operational setting-necessitating a higher degree of realism in the robot-environment interaction physics.…”
Section: Discussionmentioning
confidence: 99%
“…Three different terrain conditions were evaluated for the NIR sensitivity analysis using geo-specific and geo-typical scenes. Geo-specific scenes are built with ground truth attributions for reflectance, soil strength, and scene geometry, while geo-typical scenes are built using a library of materials 7 . The three different terrain conditions are shown in Figure 3.…”
Section: Testing Setup and Environmental Conditionmentioning
confidence: 99%
“…Developing accurate and realistic scenes is often expensive and time consuming. 3 Collecting ground-truth data, developing digitized versions of that data, and relying on artists to turn that data into digital assets is labor intensive and prone to errors. Given the level of effort required to create digital assets, the question often arises -how "good" do digital models need to be for supporting AGV simulations?…”
Section: Introductionmentioning
confidence: 99%