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  1. Home
  2. Signal Canvas
  3. Context-Aware Sensor Modeling for Asynchronous Multi-Sensor
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Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup

Stale17d ago
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0.0/10

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Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup

PDF: https://arxiv.org/pdf/2603.15137v1

Source count: 0

Coverage: 33%

Last proof check: 2026-03-19T18:48:05.835Z

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Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup

Overall score: 4/10
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Last verification: 2026-03-19T18:48:05.835Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 33%

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Prior Work
Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
Score 4.0stable
Higher Viability
ModTrack: Sensor-Agnostic Multi-View Tracking via Identity-Informed PHD Filtering with Covariance Propagation
Score 7.0up
Higher Viability
Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking
Score 7.0up
Higher Viability
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Score 7.0up
Higher Viability
Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision
Score 7.0up
Higher Viability
GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture
Score 8.0up
Higher Viability
FC-Track: Overlap-Aware Post-Association Correction for Online Multi-Object Tracking
Score 7.0up
Higher Viability
Unsupervised LiDAR-Based Multi-UAV Detection and Tracking Under Extreme Sparsity
Score 5.0up

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