Lane Detection

Lane Detection is a computer vision task that involves identifying the boundaries of driving lanes in a video or image of a road scene. The goal is to accurately locate and track the lane markings in real-time, even in challenging conditions such as poor lighting, glare, or complex road layouts.

Lane detection is an important component of advanced driver assistance systems (ADAS) and autonomous vehicles, as it provides information about the road layout and the position of the vehicle within the lane, which is crucial for navigation and safety. The algorithms typically use a combination of computer vision techniques, such as edge detection, color filtering, and Hough transforms, to identify and track the lane markings in a road scene.

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

Papers

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Showing 176–200 of 251 papers

Title	Date	Tasks	Status
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model	Jun 2, 2022	Instance SegmentationLane Detection	—Unverified
Lane detection with Position Embedding	Mar 23, 2022	Autonomous DrivingImage Segmentation	—Unverified
Laneformer: Object-aware Row-Column Transformers for Lane Detection	Mar 18, 2022	Autonomous DrivingDecoder	—Unverified
Lane Detection with Versatile AtrousFormer and Local Semantic Guidance	Mar 8, 2022	Autonomous DrivingDecoder	—Unverified
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving	Mar 2, 2022	Autonomous DrivingAutonomous Vehicles	—Unverified
RONELDv2: A faster, improved lane tracking method	Feb 26, 2022	Autonomous VehiclesLane Detection	—Unverified
Contextual road lane and symbol generation for autonomous driving	Jan 18, 2022	Autonomous DrivingGenerative Adversarial Network	—Unverified
SwiftLane: Towards Fast and Efficient Lane Detection	Oct 22, 2021	Lane Detection	—Unverified
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection	Oct 5, 2021	DecoderDeep Learning	—Unverified
End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations	Aug 31, 2021	Camera CalibrationLane Detection	—Unverified
A Robust Lane Detection Associated with Quaternion Hardy Filter	Aug 6, 2021	Edge DetectionLane Detection	—Unverified
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving	Jul 6, 2021	Autonomous DrivingLane Detection	—Unverified
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles	Jun 13, 2021	Autonomous VehiclesLane Detection	—Unverified
Semi-supervised lane detection with Deep Hough Transform	Jun 9, 2021	Lane Detection	—Unverified
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point	May 28, 2021	Lane Detection	—Unverified
Preprocessing Methods of Lane Detection and Tracking for Autonomous Driving	Apr 10, 2021	Autonomous DrivingLane Detection	—Unverified
Model-Agnostic Defense for Lane Detection against Adversarial Attack	Mar 1, 2021	Adversarial AttackAutonomous Driving	CodeCode Available
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving	Feb 9, 2021	Autonomous DrivingImage Segmentation	—Unverified
Active Learning for Lane Detection: A Knowledge Distillation Approach	Jan 1, 2021	2D Object DetectionActive Learning	—Unverified
Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles	Dec 20, 2020	Autonomous VehiclesCollision Avoidance	—Unverified
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation	Dec 18, 2020	image-classificationImage Classification	—Unverified
Prediction of Lane Number Using Results From Lane Detection	Dec 4, 2020	Lane Detection	—Unverified
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation	Nov 1, 2020	3D Lane DetectionLane Detection	—Unverified
Lane detection in complex scenes based on end-to-end neural network	Oct 26, 2020	Decision MakingLane Detection	—Unverified
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype	Sep 20, 2020	Edge DetectionLane Detection	—Unverified

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All datasets CULane TuSimple CurveLanes BDD100K val LLAMAS nuScenes OpenLane Caltech Lanes Cordova Caltech Lanes Washington DET K-Lane OpenLane-V2 val

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DLNet	F1 score	81.23	—	Unverified
2	CLRerNet-DLA34	F1 score	81.12	—	Unverified
3	CLRerNet-Res101	F1 score	80.91	—	Unverified
4	CondLSTR(ResNet-101)	F1 score	80.77	—	Unverified
5	CLRerNet-Res34	F1 score	80.76	—	Unverified
6	CLRKDNet (DLA-34)	F1 score	80.68	—	Unverified
7	CLRNetV2 (DLA34)	F1 score	80.68	—	Unverified
8	CondLSTR(ResNet-34)	F1 score	80.55	—	Unverified
9	CLRNet(DLA-34)	F1 score	80.47	—	Unverified
10	CLRNetV2 (ResNet101)	F1 score	80.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SCNN_UNet_Attention_PL*	Accuracy	98.38	—	Unverified
2	GANet(ResNet-34)	F1 score	97.71	—	Unverified
3	GANet(ResNet-18)	F1 score	97.68	—	Unverified
4	CLRNet(ResNet-101)	F1 score	97.62	—	Unverified
5	GANet(ResNet-101)	F1 score	97.45	—	Unverified
6	CondLaneNet(ResNet-34)	F1 score	97.01	—	Unverified
7	CLRNetV2 (ResNet18)	Accuracy	96.99	—	Unverified
8	PE-RESA	Accuracy	96.93	—	Unverified
9	FOLOLane(ERFNet)	Accuracy	96.92	—	Unverified
10	CLRNet(ResNet-34)	Accuracy	96.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondLSTR (ResNet-101)	F1 score	88.47	—	Unverified
2	CondLSTR (ResNet-34)	F1 score	88.23	—	Unverified
3	CondLSTR (ResNet-18)	F1 score	87.99	—	Unverified
4	CANet-L	F1 score	87.87	—	Unverified
5	CLRNetV2 (ResNet101)	F1 score	87.81	—	Unverified
6	CANet-M	F1 score	87.19	—	Unverified
7	CANet-S	F1 score	86.57	—	Unverified
8	CLRerNet-DLA34	F1 score	86.47	—	Unverified
9	CondLaneNet-L(ResNet-101)	F1 score	86.1	—	Unverified
10	CLRNet-DLA34	F1 score	86.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TwinLiteNetPlus-Large	IoU (%)	34.2	—	Unverified
2	TwinLiteNetPlus-Medium	IoU (%)	32.3	—	Unverified
3	HybridNets	IoU (%)	31.6	—	Unverified
4	TwinLiteNet	IoU (%)	31.08	—	Unverified
5	TriLiteNet-base	IoU (%)	29.8	—	Unverified
6	TwinLiteNetPlus-Small	IoU (%)	29.3	—	Unverified
7	A-YOLOM(s)	IoU (%)	28.8	—	Unverified
8	YOLOPv2	IoU (%)	27.25	—	Unverified
9	YOLOP	IoU (%)	26.2	—	Unverified
10	TwinLiteNetPlus-Nano	IoU (%)	23.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FENetV2	mF1	71.85	—	Unverified
2	CLRNet (DLA-34)	F1	0.96	—	Unverified
3	BézierLaneNet (ResNet-34)	F1	0.96	—	Unverified
4	LaneAF	F1	0.96	—	Unverified
5	CLRNet (ResNet-18)	F1	0.96	—	Unverified
6	BézierLaneNet (ResNet-18)	F1	0.96	—	Unverified
7	LaneATT (ResNet-34)	F1	0.94	—	Unverified
8	LaneATT (ResNet-122)	F1	0.94	—	Unverified
9	LaneATT (ResNet-18)	F1	0.93	—	Unverified
10	PolyLaneNet	F1	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSLP	IoU	0.45	—	Unverified
2	LaneGraphNet	IoU	0.42	—	Unverified
3	STSU	IoU	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondLSTR (ResNet-101)	F1 score	63.4	—	Unverified
2	CondLSTR (ResNet-34)	F1 score	62	—	Unverified
3	CondLSTR (ResNet-18)	F1 score	60.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VPGNet	F1	0.88	—	Unverified
2	Overfeat CNN detector + DBSCAN	F1	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VPGNet	F1	0.87	—	Unverified
2	Overfeat CNN detector + DBSCAN	F1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LDNet	Average IOU	62.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LLDN-GFC	F1	82.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TopoLogic	mAP	33.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SCNN_UNet_Attention_PL*	F1	0.92	—	Unverified