Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:51:17.290939Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.16366.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:51:17.290939Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ea330371-896b-4932-87ed-1ff0aa12d6d6 · outbound
PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Guid- ance, navigation, and control technology assessment for future planetary science missions,
Reference 1
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review,
Reference 2
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Slippage estimation and compensation for planetary exploration rovers. State of the art and future challenges,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments A survey on terrain traversability analysis for autonomous ground vehicles: Methods, sensors, and challenges,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments U-net: Convolutional networks for biomedical image segmentation,
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Observation 7c1d0f39-6ccd-486b-814b-8cc0bdfc982f · outbound
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Maars: Machine learning- based analytics for automated rover systems,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Self-reliant rovers for increased mission productivity,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Real-time fusion network for RGB-D semantic segmentation incorporating unexpected obstacle detection for road-driving images,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Cross-modal attention fusion network for RGB-D semantic segmentation,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Heatnet: Bridging the day-night domain gap in semantic segmentation with thermal images,
Reference 19
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments DaCFN: divide-and-conquer fusion network for RGB-T object detection,
Reference 20
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers,
Reference 21
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments URTSegNet: A real-time segmentation network of unstructured road at night based on thermal infrared images for autonomous robot system,
Reference 22
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,
Reference 23
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments First results of the ROBEX analogue mission campaign: Robotic deployment of seismic networks for future lunar missions,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Mars Science Laboratory mission and science investigation,
Reference 25
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments The Mars 2020 Perseverance rover mast camera zoom (Mastcam-Z) multispectral, stereoscopic imaging investigation,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Hybrid terrain traversabil- ity analysis in off-road environments,
Reference 27
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Off-road drivable area detection: A learning-based approach exploiting lidar reflection texture information,
Reference 28
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Observation b9eed97d-7132-4b92-8ba1-d54c985cb790 · outbound
PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation
Reference 29
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Thermal vision, moisture content, and vegetation in the context of off-road mobile robots,
Reference 30
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Observation 3fea1c03-1985-4d57-ab5d-dd07400d019d · outbound
PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Virtual IR sensing for planetary rovers: Improved terrain classification and thermal inertia estimation,
Reference 31
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Improving slip prediction on Mars using thermal inertia measurements,
Reference 32
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Thermal imagery for rover soil assessment using a multipurpose environmental chamber under simulated Mars conditions,
Reference 33
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments OmniUnet: A multimodal network for unstructured terrain segmentation on planetary rovers using RGB, depth, and thermal imagery,
Reference 34
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments A RUGD dataset for autonomous navigation and visual perception in unstructured outdoor environments,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Cat: Cavs traversability dataset for off-road autonomous driving,
Reference 37
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Reference 39
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Improving autonomous rover guidance in round-trip missions using a dynamic cost map,
Reference 40
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Reference 41
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Simultaneous localization and mapping,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Path planning for autonomous mobile robots: A review,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments First results in robot road-following
Reference 45
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Efficient autonomous navigation for planetary rovers with limited resources,
Reference 46
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments A kinematic-based rough terrain control for traction and energy saving of an exploration rover,
Reference 47
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Reference 48
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Omnivore: A single model for many visual modalities,
Reference 49
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Observation b99d84a7-5d57-4f27-999f-3561e8f8fa1e · outbound
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Reference 50
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Reference 51
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Dynamic path planning for reconfigurable rovers using a multi-layered grid,
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PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Fusion of Color, Depth, and Thermal Modalities for Rover Navigation in Unstructured Environments,
Reference 53
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Reference 54
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Observation 5dd21a8d-618c-48d0-8439-4036d7851455 · outbound
PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments Available: https://doi.org/10.5281/zenodo.15496884
Reference 2025
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No inbound Pith citation observations are available.