4D radar provides geometric and motion cues that complement visual semantics, but integrating it into vision-language-action (VLA) models requires both radar--language alignment for semantic reasoning and explicit use of radar measurements for trajectory refinement and selection. To support these capabilities, we const...
Lian-Qing Zheng, Xiao-Kai Bai, Yi-Xuan Luo et al.· 0 citations
A query-based multimodal fusion framework, termed SRCDet, is proposed for camera-4D radar fusion, which achieves consistent improvements across nearly all metrics and low error rates in clear and adverse weather conditions, highlighting its practical adaptability to automotive-grade systems and effectiveness in safety-...
Wen-Jin Ai, Lianqing Zheng, Long Yang et al.· Measurement science and tech...· 0 citations
These results establish visual geolocation as a continuous diagnostic of scene-text arbitration and provide a controlled framework for evaluating how MLLMs resolve conflicting multimodal evidence.
Sirun Li, Ming-Hao Liu, Ling Dai et al.· 1 citation
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