Polaris Ranger EV / EV LSV Videos
- 15 Videos --- 59:06 minutes duration
- Be sure and checkout portions of Remote Controlled (Driver-less) EV and Track EV Videos
- Best to play full screen
- Playlist - http://www.youtube.com/playlist?list=PLE2676F16ED0AC68B
- These electric vehicles will be the future, especially when batteries (heavy weight and corrosion effects) will be replaced by capacitors.
Related Links:
==========================================
Unexploded Ordinance
Polaris EV Platform / | David W Hodo
http://www.davidwhodo.com/projects/
The AUXOS software has been ported to a second platform. A Kairos Pronto4 autonomy system was used to automate a Polaris Ranger electric ATV.
The ATV is capable of covering rougher terrain than the Segway platform and is also able to tow larger payloads (up to 6 EM61 coils) to cover more area with fewer passes.
The electric Ranger EV was chosen due to its smaller geophysical signature than traditional combustion engine ATVs.
A waterproof, shock-mounted server rack made by SKB is mounted in the bed of the vehicle. The rack houses the computer, communications, and positioning equipment and also has space for geophysical sensor electronics.
===================================
Overview
According to a 2003 report by the Department of Defense (DoD), there are currently more than 10 million acres of land on around 1400 DoD sites that are thought to contain unexploded ordnance (UXO). Clearing this land of unsafe materials is currently a very time consuming and expensive task. It is estimated that it would cost tens of billions of dollars to check and clear all of the possibly affected land. The DoD currently spends more than $200 million a year on UXO related problems.
Auburn University in partnership with the Army Corp of Engineers Huntsville Center with initial funding from the Environmental Security Technology Certification Program (ESTCP) and with continued funding from the Huntsville Center’s Innovative Technology Program have developed a robotic digital geophysical mapping (DGM) tow vehicle. The goal of the project is to increase safety, productivity, and accuracy of the geophysical survey process by using autonomous vehicle technologies. The platform is capable of towing an array of industry standard DGM sensors in either tele-operated or semi-autonomous modes. It has been used to collect geophysical data with Geonics EM61-Mk2 time domain metal detectors, Geometrics G-858 magnetometers, and the GAP Geophysics TM-5Emu but is capable of towing most any sensor package.
AUXOS Software System
The AUXOS software system consists of two main applications. A server app written in C++ that runs on the vehicle and handles sensor interfaces, vehicle control, and data logging. A second user interface application written in C# and VB.net runs on a remote PC. This app allows the system to be configured and controlled, data and video from the vehicles to be displayed, and provides mission planning capabilities. A screeenshot of the user interface in mission planning mode is shown in the image above.
A TCP/IP connection using a custom interface is currently used to communicate between the user interface and vehicle. The system is, however, currently being converted to use the JAUS standard. This will allow interoperability with additional vehicles in the future as well as making the system more easily extensible.
Path planning
The mission planner include in the AUXOS user interface application allows for paths to be specified in multiple ways. The main methods for planning paths is by defining waypoints for the vehicle to drive through or polygons for the vehicle to survey. The system also has the capability to generate more specialized paths that are specific to geophysical surveying (such as 6-line tests). The planner also allows polygonal obstacles to be defined and avoided. Obstacles are avoided by searching a visibilty graph using a Dijkstra search algorithm. An example path that covers two grids while avoiding obstacles within them is shown in the image below.
Platforms
The AUXOS software system has to date been used to control two hardware platforms. The original platform was a Segway RMP400. Recently the system has been ported to work on a Polaris Ranger EV. The integration is currently being completed by another GAVLAB member, Lowell Brown. Additional information on both platforms can be found by following the links below:
Segway RMP400
Polaris Ranger EV
Project News
ESTCP Project Page
Auburn Engineering 2006-2007 Annual Report
Robots to the Rescue
Project Mention on Segway.com
Daniweb News Article
UXO Links
UXOInfo.com
ESTCP-SERDP Homepage
Army Environmental Command
No comments:
Post a Comment