RGB-FIR Multimodal Pedestrian Detection with Cross-Modality Context Attentional Model

RGB-FIR Multimodal Pedestrian Detection with Cross-Modality Context Attentional Model

Pedestrian detection is an important research topic in the field of visual cognition and autonomous driving systems. The proposal of the YOLO model has significantly improved the speed and accuracy of detection. To achieve full day detection performance, multimodal YOLO models based on RGB-FIR image...

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Bibliographic Details
Main Authors: Han Wang, Lei Jin, Guangcheng Wang, Wenjie Liu, Quan Shi, Yingyan Hou, Jiali Liu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
cross-modality context attentional model
RGB-FIR multimodal YOLO
pedestrian detection
multi-level fusion strategy
Online Access:https://www.mdpi.com/1424-8220/25/13/3854
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