About

Lane detection is the task of detecting lanes on a road from a camera.

( Image credit: End-to-end Lane Detection )

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Latest papers with code

LaneAF: Robust Multi-Lane Detection with Affinity Fields

22 Mar 2021sel118/LaneAF

This study presents an approach to lane detection involving the prediction of binary segmentation masks and per-pixel affinity fields.

LANE DETECTION

48
22 Mar 2021

Model-Agnostic Defense for Lane Detection against Adversarial Attack

1 Mar 2021henryzxu/lane-verification

Susceptibility of neural networks to adversarial attack prompts serious safety concerns for lane detection efforts, a domain where such models have been widely applied.

ADVERSARIAL ATTACK AUTONOMOUS DRIVING LANE DETECTION

0
01 Mar 2021

End-to-end Lane Shape Prediction with Transformers

9 Nov 2020liuruijin17/LSTR

To tackle these issues, we propose an end-to-end method that directly outputs parameters of a lane shape model, using a network built with a transformer to learn richer structures and context.

LANE DETECTION

383
09 Nov 2020

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

22 Oct 2020lucastabelini/LaneATT

Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles.

LANE DETECTION

191
22 Oct 2020

RONELD: Robust Neural Network Output Enhancement for Active Lane Detection

19 Oct 2020czming/RONELD-Lane-Detection

In this paper, we present a real-time robust neural network output enhancement for active lane detection (RONELD) method to identify, track, and optimize active lanes from deep learning probability map outputs.

LANE DETECTION

16
19 Oct 2020

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

31 Aug 2020ZJULearning/resa

Lane detection is one of the most important tasks in self-driving.

LANE DETECTION

45
31 Aug 2020

Towards Lightweight Lane Detection by Optimizing Spatial Embedding

arXiv.org 2020 JungSeokWoo/Lightweight-LaneDetection

This paper addresses the problem that pixel embedding in proposal-free instance segmentation based lane detection is difficult to optimize.

INSTANCE SEGMENTATION LANE DETECTION SEMANTIC SEGMENTATION

11
19 Aug 2020

Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units

10 Aug 2020zhangjy2008327/lane-detection-with-double-convgrus

One is used to extract the information of the most likely low-level features of lane markings.

LANE DETECTION

2
10 Aug 2020

End-to-End Lane Marker Detection via Row-wise Classification

6 May 2020Vipermdl/E2E-ERFNet

In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet challenging task.

AUTONOMOUS DRIVING CLASSIFICATION LANE DETECTION

8
06 May 2020

Ultra Fast Structure-aware Deep Lane Detection

ECCV 2020 cfzd/Ultra-Fast-Lane-Detection

Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problem of challenging scenarios and speed.

LANE DETECTION

770
24 Apr 2020