NOAHH TRP for Advanced Exo Mars Landing Site

  • Slides: 8
Download presentation
NOAH-H TRP for Advanced Exo. Mars Landing Site Analysis and Rover Mobility Strategic planning

NOAH-H TRP for Advanced Exo. Mars Landing Site Analysis and Rover Mobility Strategic planning ESWT #10 19/04/2018 ESA UNCLASSIFIED - For Official Use Exo. Mars Project

NOAH-H Summary The NOAH-H R&D activity is a spin-off of the on-going NOAH activity.

NOAH-H Summary The NOAH-H R&D activity is a spin-off of the on-going NOAH activity. q NOAH stands for Novelty Or Anomaly Hunter and aims to create algorithms based on machine-learning techniques to identify in images, features that are outside the common knowledge. A competition is on-going (see https: //www. labelmars. net/) to create a knowledge database (target of 5000 labeled images) for which the algorithms will be trained. The images originate from NASA rovers on Mars. The results aims at creating some intelligence for exploration rovers acting as autonomous scientists or simply as advanced filtering of images for exploration rovers. https: //robotics. estec. esa. int/ASTRA/Astra 2017/Presentations/22%20 June%20 Thursday/7 B%20 Planning%20 and%20 Autonomy%20 II/S. 7 B_09. 25_Wallace_Presentat ion. pdf q The NOAH-H activity aims to reuse the labelling framework developed in NOAH Activity with the Hi. Rise images of the Exo. Mars landing sites (Oxia Planum & Mawrth Vallis) as well as SFR potential landing sites. Specific machine learning techniques will be adapted to identify the features relevant to rover trafficability. The intended output is a detailed map of the features from which a navigation map could be deduced and strategic planning could be performed. The more training images, the better confidence on the maps. Improved knowledge of the terrain (e. g. from Mars 2020 caching rover surface mission) would also increase the confidence on the derived products that could be used for SFR strategic planning. q Similar technique has been already developed by NASA/JPL to support the Mars 2020 landing site selection. https: //hiroono. com/wp-content/plugins/zotpress/lib/request. dl. php? api_user_id=3066686&key=XEFMXFPS&content_type=application/pdf ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 2

Exo. Mars Landing Sites certification Oxia Planum Mawrth Vallis Similar imaging level as Oxia

Exo. Mars Landing Sites certification Oxia Planum Mawrth Vallis Similar imaging level as Oxia Planum is also available ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 3

JPL Advanced Rover Trafficability Analysis for Mars 2020 landing site selection/certification From such traversability

JPL Advanced Rover Trafficability Analysis for Mars 2020 landing site selection/certification From such traversability map, JPL is capable to infer strategic mobility planning allowing to understand what the mission should be able to achieve on a site. Note that Mars 2020 ellipse is only 10 km*8 km… ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 4

Building Ontology (OU – Matt Balme) ESA UNCLASSIFIED - For Official Use ESA |

Building Ontology (OU – Matt Balme) ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 5

Labelling as much as we can… (OU or/and others ? ) Label. Mars web-based

Labelling as much as we can… (OU or/and others ? ) Label. Mars web-based tool developed for NOAH ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 6

Input of next LSSWG & Strategic Planning RGB levels for each pixels with a

Input of next LSSWG & Strategic Planning RGB levels for each pixels with a level of confidence for all the Hirise images of each potential landing sites, to be interpreted in conjunction with other data (e. g. slope maps). Association of rover trafficability figures to the identified features should allow to build a global navigation map. From this map, mission considerations can be drawn. q Input for the next Exo. Mars Landing Site Selection in November 2018. q Further working till landing improving the pre-strategic planning q Possible improvement based on the surface imaging post landing ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 7

Thank you ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 8

Thank you ESA UNCLASSIFIED - For Official Use ESA | 01/01/2016 | Slide 8