Xiao Ni

We present a thermal imaging dataset specifically designed to support the detection of people with mobility restrictions in urban traffic environments. The dataset was collected at multiple intersections and includes diverse spatial regions such as sidewalks, waiting zones, and pedestrian crossings. Data acquisition was conducted across various times of day (sunrise, morning, afternoon, sunset, night, and dawn) and seasons (spring, summer, autumn, and winter) to capture a broad range of environmental and thermal conditions.