TIR‐YOLO‐ADAS: A thermal infrared object detection framework for advanced driver assistance systems
Meng Ding,
Song Guan,
Hao Liu
et al.
Abstract:An object detection framework using thermal infrared (TIR) cameras is proposed to meet the needs of an advanced driver assistance system (ADAS) operating at night‐time and in low‐visibility conditions. The proposed detection framework, referred to as TIR‐YOLO‐ADAS, is an improvement of YOLOX for TIR object detection in ADAS. First, to address the disadvantages of TIR objects, the part of the attention mechanism is designed to enhance the discriminative ability of feature maps in the spatial and channel dimensi… Show more
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