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

fYear

2009

fDate

25-28 Oct. 2009

Firstpage

1588

Lastpage

1592

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors, 2009 IEEE

Conference_Location

Christchurch

ISSN

1930-0395

Print_ISBN

978-1-4244-4548-6

Electronic_ISBN

1930-0395

Type

conf

DOI

10.1109/ICSENS.2009.5398491

Filename

5398491