Lane Detection

14 papers with code ยท Computer Vision
Subtask of Autonomous Vehicles

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

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

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Latest papers without code

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT

20 Nov 2019

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based on the estimated profile, the road area is segmented.

LANE DETECTION

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

ICCV 2019

Training deep models for lane detection is challenging due to the very subtle and sparse supervisory signals inherent in lane annotations.

LANE DETECTION REPRESENTATION LEARNING

3D-LaneNet: End-to-End 3D Multiple Lane Detection

ICCV 2019

We introduce a network that directly predicts the 3D layout of lanes in a road scene from a single image.

LANE DETECTION OBJECT DETECTION

Copy-and-Paste Networks for Deep Video Inpainting

ICCV 2019

We propose a novel DNN-based framework called the Copy-and-Paste Networks for video inpainting that takes advantage of additional information in other frames of the video.

IMAGE INPAINTING LANE DETECTION VIDEO INPAINTING

Dynamic Approach for Lane Detection using Google Street View and CNN

2 Sep 2019

In this paper, a novel and pragmatic approach for lane detection is proposed using a convolutional neural network (CNN) model based on SegNet encoder-decoder architecture.

AUTONOMOUS NAVIGATION LANE DETECTION

Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks

22 Jul 2019

Several studies leverage a semantic segmentation network to extract robust lane features, but few of them can distinguish different types of lanes.

LANE DETECTION SEMANTIC SEGMENTATION

FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network

CVPR 2019

In this paper, we use lane detection to study modeling and training techniques that yield better performance on real world test drives.

LANE DETECTION STYLE TRANSFER

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

31 May 2019

Among the several deep learning architectures, convolutional neural networks (CNNs) outperformed other machine learning models, especially for region proposal and object detection tasks.

LANE DETECTION OBJECT DETECTION

Deep Multi-Sensor Lane Detection

4 May 2019

Reliable and accurate lane detection has been a long-standing problem in the field of autonomous driving.

AUTONOMOUS DRIVING LANE DETECTION MOTION PLANNING

Agnostic Lane Detection

2 May 2019

Lane detection is an important yet challenging task in autonomous driving, which is affected by many factors, e. g., light conditions, occlusions caused by other vehicles, irrelevant markings on the road and the inherent long and thin property of lanes.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION LANE DETECTION MULTI-TASK LEARNING SEMANTIC SEGMENTATION