Computer vision-based model for detecting turning lane features on Florida's public roadways

arXiv:2406.08822v1 Announce Type: new
Abstract: Efficient and current roadway geometry data collection is critical to transportation agencies in road planning, maintenance, design, and rehabilitation. Data collection methods are divided into land-based and aerial-based. Land-based methods for extensive highway networks are tedious, costly, pose safety risks. Therefore, there is the need for efficient, safe, and economical data acquisition methodologies. The rise of computer vision and object detection technologies have made automated extraction of roadway geometry features feasible. This study detects roadway …

abstract aerial arxiv collection computer computer vision cs.ai cs.cv current data data collection design features florida geometry maintenance networks planning public risks safety safety risks transportation type vision