Ufil introduces a unified open-source framework with standardized interfaces for multi-object tracking that fuses V2X, lidar, and in-road sensor data to achieve lane-level accuracy below 0.3 m lateral RMSE and under 100 ms latency in both simulation and testbed.
Choose your simulator wisely: A review on open-source simulators for autonomous driving
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
MSH-MCCT is a multi-source human-in-the-loop mixed cloud control testbed that uses mixed digital twins to enable real-time interaction between physical and virtual CAVs and HDVs.
citing papers explorer
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Ufil: A Unified Framework for Infrastructure-based Localization
Ufil introduces a unified open-source framework with standardized interfaces for multi-object tracking that fuses V2X, lidar, and in-road sensor data to achieve lane-level accuracy below 0.3 m lateral RMSE and under 100 ms latency in both simulation and testbed.
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Multi-Source Human-in-the-Loop Digital Twin Testbed for Connected and Autonomous Vehicles in Mixed Traffic Flow
MSH-MCCT is a multi-source human-in-the-loop mixed cloud control testbed that uses mixed digital twins to enable real-time interaction between physical and virtual CAVs and HDVs.