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Risk-Aware World Modeling with Flow-Guided Occupancy Evolution for Selective Trajectory Planning in Automated Driving

Zeng, Rongxiang et al.
arXiv (All) · Papers
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artificial-intelligenceemerging-technologiesmachine-learningroboticssystems-and-control
Safe motion planning in automated driving requires anticipating evolving traffic risks and deciding when to revise the current planned trajectory. We introduce RiskWorld, a risk-aware world modeling framework for shared occupancy forecasting and selective trajectory replacement. Spatial risk fields
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