ALF converts box-level messages from unseen agents into ego-compatible features via pseudo-BEV maps, enabling zero-shot heterogeneous collaboration and improving mAP by 35.91% relative on V2X-Real.
AirV2X: Unified air-ground vehicle-to-everything collaboration
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Introduces and evaluates an intent-first aerial V2V protocol using C-V2X sidelink for tactical coordination and separation in dense UTM operations, showing viability in moderate regimes with fallback at high density.
Introduces CARLA-Air simulator for air-ground VLA evaluation and shows that current aerial VLA models track ground partners but fail to achieve stable cooperative behavior under text-based interfaces.
citing papers explorer
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Adaptation-Free Heterogeneous Collaborative Perception with Unseen Agent Configurations
ALF converts box-level messages from unseen agents into ego-compatible features via pseudo-BEV maps, enabling zero-shot heterogeneous collaboration and improving mAP by 35.91% relative on V2X-Real.
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Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
Introduces and evaluates an intent-first aerial V2V protocol using C-V2X sidelink for tactical coordination and separation in dense UTM operations, showing viability in moderate regimes with fallback at high density.
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Can Aerial VLA Models Cooperate? Evaluating Closed-Loop Air-Ground Coordination with CARLA-Air
Introduces CARLA-Air simulator for air-ground VLA evaluation and shows that current aerial VLA models track ground partners but fail to achieve stable cooperative behavior under text-based interfaces.