Road scene parsing is a crucial capability for self-driving vehicles and intelligent road inspection systems.Recent research has increasingly focused on enhancing driving safety and comfort by improving the detection ...Road scene parsing is a crucial capability for self-driving vehicles and intelligent road inspection systems.Recent research has increasingly focused on enhancing driving safety and comfort by improving the detection of both drivable areas and road defects.This article reviews state-of-the-art networks developed over the past decade for both general-purpose semantic segmentation and specialized road scene parsing tasks.It also includes extensive experimental comparisons of these networks across five public datasets.Additionally,we explore the key challenges and emerging trends in the field,aiming to guide researchers toward developing next-generation models for more effective and reliable road scene parsing.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.62473288,62403361,and 62233013the Fundamental Research Funds for the Central UniversitiesXiaomi Young Talents Program.It should be clarified that the collaboration among the authors is limited solely to this work and does not extend to any other projects.
文摘Road scene parsing is a crucial capability for self-driving vehicles and intelligent road inspection systems.Recent research has increasingly focused on enhancing driving safety and comfort by improving the detection of both drivable areas and road defects.This article reviews state-of-the-art networks developed over the past decade for both general-purpose semantic segmentation and specialized road scene parsing tasks.It also includes extensive experimental comparisons of these networks across five public datasets.Additionally,we explore the key challenges and emerging trends in the field,aiming to guide researchers toward developing next-generation models for more effective and reliable road scene parsing.
