2009

A Robust Mechanical Sensing System for Unmanned Sea Surface Vehicles

The need for autonomous navigation and intelligent control of unmanned sea surface vehicles requires a mechanically robust sensing architecture that is watertight, durable, and insensitive to vibration and shock loading. The sensing system developed here comprises four black and white cameras and a single color camera. The cameras are rigidly mounted to a camera bar that can be reconfigured to mount multiple vehicles, and act as both navigational cameras and application cameras. The cameras are housed in watertight casings to protect them and their electronics from moisture and wave splashes.

Two of the black and white cameras are positioned to provide lateral vision. They are angled away from the front of the vehicle at horizontal angles to provide ideal fields of view for mapping and autonomous navigation. The other two black and white cameras are positioned at an angle into the color camera’s field of view to support vehicle applications. These two cameras provide an overlap, as well as a backup to the front camera. The color camera is positioned directly in the middle of the bar, aimed straight ahead. This system is applicable to any sea-going vehicle, both on Earth and in space.

This work was done by Eric A. Kulczycki, Lee J. Magnone, Terrance Huntsberger, Hrand Aghazarian, Curtis W. Padgett, David C. Trotz, and Michael S. Garrett of Caltech for NASA’s Jet Propulsion Laboratory. For more information, contact This email address is being protected from spambots. You need JavaScript enabled to view it.. NPO-46372

White Papers

The Ultimate Shaft-To-Hub Connection
Sponsored by Stoffel Polygon
Differential Nonlinearity in Analog Measurements
Sponsored by sealevel
Additive Manufacturing Initiatives at Sandia National Laboratories
Sponsored by stratasys
Avoiding Common Mistakes in Extractables/Leachables Program Design
Sponsored by wuxi apptec
Lubrication Considerations for Bearings
Sponsored by ast bearings
Receiver requirements for a TDOA-based radiolocation system
Sponsored by rohde and schwarz a and d

White Papers Sponsored By: