UTD24 Research Publishing
Frontiers in Integrative Science
Review Article Published August 27, 2026 Article fis20260061

Falcon - Fused Attention for Lidar-Camera Curb Detection: Adaptation and Calibration Across Domains

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Abstract

Cross-domain use depends on whether predictions remain calibrated when data sources, populations, and decision thresholds change. This structured evidence review evaluates "Falcon: Fused Attention for Lidar-Camera Curb Detection" alongside nine author-disjoint, topically matched publications in three-dimensional perception. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through cross-domain adaptation and calibration, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda emphasizes external calibration, domain-specific error analysis, and predefined rules for recalibration or withdrawal.

Keywords
three-dimensional perceptioncross-domain adaptation and calibrationevidence synthesisreproducibilityresearch evaluation
References
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Publication details
Journal
Frontiers in Integrative Science
Volume
1 (2026)
Article number
fis20260061
License
CC BY 4.0