Researchers have developed an algorithm for road crack detection, with one approach involving a dual-domain perception gate-controlled adaptive fusion algorithm. Another method combines channel-space convolution and frequency feature aggregation for semantic segmentation of road cracks. These developments suggest ongoing work in creating effective models for detecting road cracks.