SOURCE-LINKED INTELLIGENCE

WZPlanner: Safe End-to-End Path Planning for Autonomous Driving in Work Zones

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Work zones alter lane geometry through temporary traffic controls and closures that may be absent from on-board maps, challenging autonomous vehicle (AV) perception and planning. Generalization is also limited by scarce public datasets with structured geometric supervision. We present WorkZonePlan, a dataset comprising 149K+ synthetic and 5K+ real-world multimodal samples with 3D annotations for lane boundaries, work zone boundaries, and driving trajectory options. It also provides 76 closed-loop CARLA scenarios replayed under three weather conditions, yielding 228 Bench2Drive-format evaluatio

Read original source ↗ Open in workspace

recordType

paper

region

Global