We introduce HammerDrive, a novel architecture for task-aware visual attention prediction in driving. The proposed is learnable from data and can reliably infer the current focus of driver real-time, while only requiring limited easy-to-access telemetry vehicle. build on two core concepts: 1) driving be modeled as collection sub-tasks (maneuvers), 2) each sub-task affects way allocates resource...