NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login

Press Enter or click the Search button to begin your search.

Back to Results
SPOC: Deep Learning-Based Terrain Classification for Mars Rover MissionsNo abstract available
Document ID
20200000183
Acquisition Source
Jet Propulsion Laboratory
Document Type
Presentation
External Source(s)
hdl:2014/47072
Authors
Rothrock, Brandon (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Papon, Jeremie (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Kennedy, Ryan (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Ono, Masahiro (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Heverly, Matt (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Cuningham, Chris (Jet Propulsion Laboratory (JPL), California Institute of Technology (CalTech) Pasadena, CA, United States)
Date Acquired
January 7, 2020
Publication Date
September 12, 2016
Subject Category
Astronautics (General)
Report/Patent Number
JPL-CL-16-4266
Report Number: JPL-CL-16-4266
Meeting Information
Meeting: AIAA/AAS Astrodynamics Specialist Conference
Location: Long Beach, CA
Country: United States
Start Date: September 12, 2016
End Date: September 15, 2016
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.

Related Records

There are no records associated with this record.
No Preview Available