Bicycle Lane

Bicycle lanes are crucial for cyclist safety and promoting cycling as a mode of transportation. Current research focuses on improving the accuracy and completeness of bicycle lane mapping, often employing deep learning models trained on street-view imagery to automatically identify lane markings and generate comprehensive maps. This automated mapping addresses limitations of existing datasets, which are frequently incomplete or outdated, particularly in less densely populated areas. Improved mapping contributes to better urban planning, enhanced cyclist safety, and more effective infrastructure investment.