YOLinO: Generic Single Shot Polyline Detection in Real Time

TL;DR

YOLinO introduces a real-time, single shot polyline detection method capable of handling various polyline shapes, including branching and crossing lines, suitable for diverse applications like road marking and lane detection.

Contribution

The paper presents a novel bottom-up, single shot approach for polyline detection that operates in real-time and generalizes across multiple domains and polyline types.

Findings

Achieves 187 fps detection speed.

Handles branching and crossing polylines.

Effective across different applications like road marking and lane detection.

Abstract

The detection of polylines is usually either bound to branchless polylines or formulated in a recurrent way, prohibiting their use in real-time systems. We propose an approach that builds upon the idea of single shot object detection. Reformulating the problem of polyline detection as a bottom-up composition of small line segments allows to detect bounded, dashed and continuous polylines with a single head. This has several major advantages over previous methods. Not only is the method at 187 fps more than suited for real-time applications with virtually any restriction on the shapes of the detected polylines. By predicting multiple line segments for each cell, even branching or crossing polylines can be detected. We evaluate our approach on three different applications for road marking, lane border and center line detection. Hereby, we demonstrate the ability to generalize to different domains as well as both implicit and explicit polyline detection tasks.