Late fusion of asynchronous vehicle predictions improves trajectory success rate (TSR_0.5) by 1.22-1.69% on real-world V2V4Real data compared to single-vehicle forecasting.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CooperDrive augments autonomous vehicle perception by sharing object-level data from BEV features, enabling earlier conflict anticipation and safer planning with 90 kbps bandwidth and 89 ms latency in real-world NLOS tests.
citing papers explorer
-
Collaborative Trajectory Prediction via Late Fusion
Late fusion of asynchronous vehicle predictions improves trajectory success rate (TSR_0.5) by 1.22-1.69% on real-world V2V4Real data compared to single-vehicle forecasting.
-
CooperDrive: Enhancing Driving Decisions Through Cooperative Perception
CooperDrive augments autonomous vehicle perception by sharing object-level data from BEV features, enabling earlier conflict anticipation and safer planning with 90 kbps bandwidth and 89 ms latency in real-world NLOS tests.