Author

Melih Yazgan

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Preprint Oct 2026

Temporal Residual Bottleneck for Robust Asynchronous Collaborative Perception

Collaborative perception extends the sensing range of autonomous vehicles, but its performance degrades when shared features arrive stale or incomplete. Most latency-robust methods compensate delayed collaborator features through flow-guided alignment or direct feature transport. In this work, we formulate asynchronous...

Melih Yazgan, Ahmed Abouelazm, J. Zöllner · 0 citations

Preprint Sep 2026

Dense Coverage, Sparse Refinement: Byte-Constrained Cooperative Perception

Collaborative perception improves autonomous perception by sharing intermediate Bird's-Eye-View (BEV) features across connected agents, but dense feature exchange is difficult to deploy under strict Vehicle-to-Everything (V2X) bandwidth limits. Existing efficient methods typically either compress the full feature map u...

Melih Yazgan, Tim Muller, J. Zöllner · 0 citations