This study examines navigation support for drivers with hearing impairment from the perspective of sensory compensation and multimodal information fusion.Most existing navigation systems depend primarily on voice guidance, which reduces their effectiveness when auditory cues are not directly accessible.Previous studies have considered visual and haptic alternatives, but these methods still show limitations in rapidly changing driving environments, particularly in adaptation, stability, and timely decision support.To address these issues, we propose a navigation framework that integrates compact sensory representation, context-sensitive decision adjustment, and multimodal signal fusion.By organizing input information efficiently and combining cues from different channels, the system is designed to provide more stable and responsive navigation assistance under dynamic road conditions.We further introduce a coordination strategy based on constrained optimization and policy-driven control to maintain consistency among representation, decision, and fusion during navigation. Experiments on multiple datasets show that the proposed framework improves navigation-related performance over baseline methods, including gains in accuracy and response efficiency under the evaluated settings.These results suggest that combining structured sensory representation with context-sensitive decision making and probabilistic fusion can provide more reliable navigation support for hearing-impaired drivers.
