Extraction and Analysis of Three‐Dimensional Morphological Features of Centimeter‐Scale Rocks in Zhurong Landing Region

Li, Y.; Xiao, Zhou; Ma, Congcong; Zeng, Leli; Zhang, Wuming; Peng, Man; Li, Anming

doi:10.1029/2022je007656

Cited by 3 publications

(3 citation statements)

References 52 publications

(79 reference statements)

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“…This involves modifying the type of landforms, distribution of rocks, and slope of the terrain to match the characteristics of the Martian surface. In the paper [18], the simulated Martian terrain created by the researchers using this simulator tool yielded a more accurate simulation of terrain and rocks. The SimMars6K dataset, which comprises stereo RGB images, depth images, and semantic segmentation, as well as instance-segmentation maps of rocks, modeled the rocky environment of the Martian surface.…”

Section: Mars Datamentioning

confidence: 99%

“…With the assistance of traditional computer vision methods or deep learning neural networks, it is possible to segment and extract rock instances in RGB images. In the Sim-Mars6K dataset [18], the edge and semantic information of rock instances and RGB images have been documented. A unique rendering strategy for the rocks can emphasize the rocks in the field of view and achieve enhanced interactive rendering (Figure 7).…”

Section: Data Process Of Panoramic Cameras Of Martian Rocky Environmentmentioning

confidence: 99%

“…For various exploration and visualization requirements, the three-dimensional surface can be integrated with other types of data to better meet diverse scientific objectives. Mars rovers are faced with a variety of features on the Martian surface, including rocks [18][19][20]. These rocks may adversely affect the travel of Mars rovers and have potential risks.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Interactive Rendering for Rovers of Lunar Polar Region and Martian Surface

Bi,

Jin,

Chen

et al. 2024

Remote Sensing

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Appropriate environmental sensing methods and visualization representations are crucial foundations for the in situ exploration of planets. In this paper, we developed specialized visualization methods to facilitate the rover’s interaction and decision-making processes, as well as to address the path-planning and obstacle-avoidance requirements for lunar polar region exploration and Mars exploration. To achieve this goal, we utilize simulated lunar polar regions and Martian environments. Among them, the lunar rover operating in the permanently shadowed region (PSR) of the simulated crater primarily utilizes light detection and ranging (LiDAR) for environmental sensing; then, we reconstruct a mesh using the Poisson surface reconstruction method. After that, the lunar rover’s traveling environment is represented as a red-green-blue (RGB) image, a slope coloration image, and a theoretical water content coloration image, based on different interaction needs and scientific objectives. For the rocky environment where the Mars rover is traveling, this paper enhances the display of the rocks on the Martian surface. It does so by utilizing depth information of the rock instances to highlight their significance for the rover’s path-planning and obstacle-avoidance decisions. Such an environmental sensing and enhanced visualization approach facilitates rover path-planning and remote–interactive operations, thereby enabling further exploration activities in the lunar PSR and Mars, in addition to facilitating the study and communication of specific planetary science objectives, and the production and display of basemaps and thematic maps.

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Section: Mars Datamentioning

confidence: 99%

Section: Data Process Of Panoramic Cameras Of Martian Rocky Environmentmentioning

confidence: 99%