Title :
Sensor modeling for the Virtual Autonomous Navigation Environment
Author :
Goodin, Chris ; Kala, Raju ; Carrrillo, Alex ; Liu, Linda Y.
Author_Institution :
Eng. R&D Center, Vicksburg, MS, USA
Abstract :
The Virtual Autonomous Navigation Environment (VANE) is a high fidelity, physics-based simulation process that produces realistic simulated sensor output for use in the development and testing of Autonomous Mobility Systems (AMS). The VANE produces simulated sensor output for ranging and camera sensors that are characterized by a few easily determined input parameters. This flexibility allows for the efficient characterization of a sensor interaction with a particular AMS. This paper presents the development of these models and some initial results.
Keywords :
CCD image sensors; mobile robots; navigation; path planning; remote sensing; remotely operated vehicles; robot vision; CCD sensor; LIDAR pulse; autonomous mobility systems; camera sensors; physics-based simulation process; ranging; sensor modeling; signal processing algorithm; unmanned ground vehicles; virtual autonomous navigation environment; Blades; Charge coupled devices; Charge-coupled image sensors; Computational modeling; Filters; Geometrical optics; Navigation; Optical sensors; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Sensors, 2009 IEEE
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4548-6
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2009.5398491
