LEADER 02445oam 2200421zu 450 001 996207505703316 005 20210806235838.0 010 $a1-5090-9541-1 035 $a(CKB)1000000000278222 035 $a(SSID)ssj0000454324 035 $a(PQKBManifestationID)12173436 035 $a(PQKBTitleCode)TC0000454324 035 $a(PQKBWorkID)10397817 035 $a(PQKB)10663687 035 $a(NjHacI)991000000000278222 035 $a(EXLCZ)991000000000278222 100 $a20160829d2006 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$a2006 IEEE Aerospace Conference 210 31$a[Place of publication not identified]$cI E E E$d2006 215 $a1 online resource $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-7803-9545-X 330 $aIn order to meet the future vision of robotic missions, engineers will face intricate mission concepts, new operational approaches, and technologies that have yet to be developed. The concept of smaller, model driven projects helps this transition by including life-cycle cost as part of the decision making process. For example, since planetary exploration missions have cost ceilings and short development periods, heritage flight hardware is utilized. However, conceptual designs that rely solely on heritage technology will result in estimates that may not be truly representative of the actual mission being designed and built. The Laboratory for Spacecraft and Mission Design (LSMD) at the California Institute of Technology is developing integrated concurrent models for mass and cost estimations. The purpose of this project is to quantify the infusion of specific technologies where the data would be useful in guiding technology developments leading up to a mission. This paper introduces the design-to-cost model to determine the implications of various technologies on the spacecraft system in a collaborative engineering environment. In addition, comparisons of the benefits of new or advanced technologies for future deep space missions are examined. 606 $aAstrionics$vCongresses 606 $aImage processing$vCongresses 615 0$aAstrionics 615 0$aImage processing 676 $a629.1355 801 0$bPQKB 906 $aPROCEEDING 912 $a996207505703316 996 $a2006 IEEE Aerospace Conference$92504872 997 $aUNISA