1 / 18

SPI and Context Imagers

SPI and Context Imagers. Life in the Atacama Design Review December 19, 2003 Stuart Heys Fayette Shaw Trey Smith Carnegie Mellon University. Mounting Positions. Top mast ~180 cm. Mid mast ~150 cm. Rear 50+ cm. Low mast 50 cm. Belly. Rear pointed. Front downward. Hyperion 2003.

talmai
Télécharger la présentation

SPI and Context Imagers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SPI and Context Imagers Life in the Atacama Design ReviewDecember 19, 2003 Stuart Heys Fayette Shaw Trey Smith Carnegie Mellon University Carnegie Mellon

  2. Mounting Positions Top mast ~180 cm Mid mast ~150 cm Rear 50+ cm Low mast 50 cm Belly Rear pointed Front downward Carnegie Mellon

  3. Hyperion 2003 SPI (2) PTU Near Nav (2) FI Plow Carnegie Mellon

  4. SPI (2) 2-Cam Off-the-shelf PTU PTU Near + Far Nav (3) FI + VNS Workspace (2) Plow Carnegie Mellon

  5. SPI + Far Nav + Near Nav (5) 5-Cam PTU PTU FI + VNS Workspace (2) Plow Carnegie Mellon

  6. 4-Cam PTU SPI + Far Nav (4) PTU Near Nav (2) FI + VNS Workspace (2) Plow Carnegie Mellon

  7. KEY Narrow Wide PTU Configurations 3 Cam PTU K9 MER 5 Cam PTU 4 Cam PTU 2 Cam PTU Carnegie Mellon

  8. Pros Off-the-shelf PTU Cons Worst data correlation Don’t like current PTU - e.g. limited range of motion Nav cams too low Pros Correlated data Cons Requires PTU built – most weight Nav cams too high Calibration target and computation Pros Fewer cameras on axle and PTU Cons One more camera Requires PTU built Carnegie Mellon

  9. Other Considerations • Baseline • Vertical baseline takes advantage of texture (e.g. curbs) • Shorter baselines are less prone to matching error • Longer baselines are more accurate • Colinear (vertical) baseline better for stereo matching • Hazcams • Rear: engineering • Front: science • Current recommendation has neither Carnegie Mellon

  10. Recommendation SPI + Far Nav (4) PTU Near Nav (2) FI + VNS Workspace (2) Plow Carnegie Mellon

  11. 1º VNS foreoptic Recommendation Workspace cam 75º FOV 1º VNS foreoptic FI ~30º FOV Carnegie Mellon

  12. Recommendations • Science instruments at front of rover • Spectrometer: 1 deg foreoptic at underbelly, No laptop if possible • Chlorophyll Detector: One camera Carnegie Mellon

  13. Appendix Carnegie Mellon

  14. Science Mount: Pan/Tilt Unit FOV: 21.1º x 15.9º Baseline: 30 cm Verge: 1º Nav Mount: Mid mast FOV: 60º Baseline: 20 cm Haz Mount: Low mast FOV: ~90 deg (MER >120 deg) Baseline: 10 cm Workspace Mount: Underbody FOV: ~75 deg Baseline: 10 cm Cameras -- appendix Carnegie Mellon

  15. VISNIR Spectrometer (1) • Mounting: fiber optic cable to mast and underbody • Actuation: Pan Tilt Unit (2 DOFs) • Field of view • Fiber optic: 25 deg - underbody • Foreoptic: 1 deg – mast (15, 180 available) • Computational: laptop included (weight, power on this?) • External triggering for collection of spectra via serial cable • Dimensions 33 x 11 x 41 cm • Mass: 7.2 kg + laptop • Power: 50 W (incl laptop?) Carnegie Mellon

  16. Axiom multiplexer • Switching time: ~1s • Serial Interface: RS-232 • Command protocols: ASCII • Size: ~18 cm x 8 cm x 13 cm • Power? • Mass: ? Carnegie Mellon

  17. Fluorescence Imager • Mount: Underbody • Actuation: x-z motion, shroud (3 DOFs) • FOV: narrow • Power: unknown • Requirements • Windows driver available or SCSI + microprocessor • Need to turn on/off, read out signals, set integration time Carnegie Mellon

  18. Cold mirror NIR Camera source Longpass filter Visible Camera IR filter Perceptor Chlorophyll Detector • Far-field and near-field chlorophyll detection • Current system: Two cameras • FOV: 48 deg to 2.7 deg (tele end) • Power: 1.5 W per camera • Data logging: Serial • Volume: ~ 12 cm x 12 cm x 8 cm • Reduced if cameras are reoriented vertically  smaller mirror • May be possible to do with one camera Carnegie Mellon

More Related