BriefGPT.xyz
Mar, 2022
通过曲线建模重新思考高效车道检测
Rethinking Efficient Lane Detection via Curve Modeling
HTML
PDF
Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang...
TL;DR
本文提出了一种新的基于参数曲线的车道检测方法,利用 Bézier 曲线及变形卷积特征翻转融合等方法,不仅在 LLAMAS 法案中实现了最新的最佳效果,并且在 TuSimple 和 CULane 数据集上实现了可观的准确性,同时保持了低延迟与小模型尺寸。
Abstract
This paper presents a novel
parametric curve-based method
for
lane detection
in RGB images. Unlike state-of-the-art segmentation-based and point detection-based methods that typically require heuristics to either
→