Homography Guided Temporal Fusion for Road Line and Marking Segmentation

arXiv:2404.07626v1 Announce Type: new
Abstract: Reliable segmentation of road lines and markings is critical to autonomous driving. Our work is motivated by the observations that road lines and markings are (1) frequently occluded in the presence of moving vehicles, shadow, and glare and (2) highly structured with low intra-class shape variance and overall high appearance consistency. To solve these issues, we propose a Homography Guided Fusion (HomoFusion) module to exploit temporally-adjacent video frames for complementary cues facilitating the correct classification …

abstract arxiv autonomous autonomous driving class cs.cv driving fusion homography line low moving segmentation shadow temporal type vehicles work