Crosswalk Detection: A Research Tutorial

Voice-over: assets/audio/homepage.mp3

Goal

This tutorial surveys methods for crosswalk detection in urban scenes, from classical computer vision to modern deep learning and vision–language / multimodal models. It synthesizes findings across papers, highlighting where methods work, where they fail, and open problems [1] [2] [3].

Read Time

~15–30 minutes • includes ≥5 figures, audio narration on each page, and a short quiz.

How to Navigate

Use the top navigation bar to jump between sections. The Annotated Bibliography contains numbered references. Inline citations like [1] link to details.

Table of Contents

Note: This is a survey-style tutorial. All results and examples summarize prior research (properly cited) rather than new implementations.
References on this page: [1] [2] [3]