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BAE Systems Design Project. MAD-T Designs ED&G 100 Section 6 Dwight Brillembourg , Adam Dietz, Matt Huether, Tim Messman Spring 2008. Problem Statement. Vehicles must be able to detect obstacles ahead Design system must be able to determine range, velocity, and position of obstacles
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BAE Systems Design Project MAD-T Designs ED&G 100 Section 6 Dwight Brillembourg, Adam Dietz, Matt Huether, Tim Messman Spring 2008
Problem Statement • Vehicles must be able to detect obstacles ahead • Design system must be able to determine range, velocity, and position of obstacles • All conditions must be considered (i.e. rain, blackout weather)
Project Design Considerations..? • Time required for vehicle to stop, or turn on a radius that would allow it to avoid obstacle • Various sensor specs including range, reaction time, versatility, etc. • Vehicle specs (i.e. voltage output) • Location of system on vehicle • Total system implementation cost
Calculations • Determining total time to react and avoid an obstacle played into our decisions about which sensors to choose
Design Templates • Many sensor types were considered • Four were decided upon to implement in the system
Trade Study • Different design combinations were considered • Sonar and simple vision cameras were ruled out because of ineffectiveness in given conditions • LIDAR and radar would not obstruct personnel at all • Radar, GPS, and IR are compact • Taking various range constraints into consideration LIDAR, GPS, radar, and IR were featured in the final design
Final Concept Design • The team’s design is a combination of LIDAR, GPS, IR, and radar • Location: LIDAR and radar will be on top of the vehicle, IR will be in the grill of the Humvee and the screen will be inside on dashboard, GPS located in Humvee between middle front consoles • Reasons for location: out of way of personnel, LIDAR and radar are located on top to provide a better view
Design Features • LIDAR (LMS-291): good range- from 4-80m, high resolution, accuracy: ±15 cm, Angle: 180°, 24 Volt input Size: 9.9 lbs, 6.2 x 6.4 x 8.4 (in) Priced: $4400 • Radar (Ar1000): range-about 30m, high resolution with fast reaction time, compact, weather resistant Size: 7.7 x 3 x 4 (in), 1.9 lbs Priced: Unavailable
Design Features(cont.) • GPS: very compact (2.4 in), small power requirement (3 Watts, 4-5 volts input), time delays are an issue Size: 4.9 x 6.1 x 2.9 (in) Priced: $500-1000 • IR (FLIR PathfindIR): range: ≈610m,compact, works excellent in all conditions, 12 Volt insput, Angle: 36° Size: 2.3 x 2.2 x 2.8 (in), .8 lbs Priced: $4850
Total Cost Analysis • 1 LIDAR LMS-291: $4400 • 2 Ar1000 Radar devices: unavailable • 1 GPS system: $500-1000 • 1 FLIR PathfindIR: $4850 Total System Cost: $10,250 + ≈3000 Total Estimated System Cost: $13, 250
Design Summary • Max cost of $13,500 per unit • Technologically feasible • Limited personnel obstruction • Works in all weather conditions • Ultimately, the system is accurate and fast in determining any obstacles in the vehicles oncoming path
References • EDSGN 100 Design Projects. Spring 2008. Penn State Engineering Design. 20 Apr 2008 <http://www.engr.psu.edu/ed/design_projects/index.htm>. • Mattes, Rich. "Sensors." 4/8/2008. Penn State Robotics Club. 20 Apr 2008 <http://www.engr.psu.edu/ed/design_projects/Sensors_RichMattes.pdf>. • Pramod, Vemulapalli. "EDSGN 100 Autonomous System Navigation and Driver Augmentation." 2008. Penn State Graduate Research Assistant. 20 Apr 2008 • "Land System- Vision Enhancement." FLIR Government Systems. 2008. FLIR. 20 Apr 2008 <http://www.gs.flir.com/products/land/pathfindir.cfm>.