Papers Lane Detection
“Lane Detection” 태그가 달린 논문 278편 · 필터 해제
SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detection
Video lane detection requires predictions that remain stable across frames, yet severe vehicle occlusions can break temporal cues. In streaming recurrent models, corrupted observations may enter the hidden state and prod…
Lane DetectionCyclops: LiDAR as a Camera That Dreams in Color
Conventionally, robotic perception relies heavily on cameras due to the rich semantic texture they provide. However, their performance degrades significantly in low-light or high-dynamic-range environments. Conversely, w…
Semantic SegmentationLane DetectionBenchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective
Environmental illusions (eg., shadows, reflections, and tire marks) are naturally existing yet overlooked phenomena in real-world driving environments. They can disturb visual perception, leading to misinterpretation of …
Visual Question AnsweringAutonomous DrivingLane DetectionGFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection
Lane detection stands as a crucial perception task in autonomous driving and advanced driver assistance systems. However, existing methods still degrade in complex real scenarios due to two major limitations. First, clas…
Autonomous DrivingLane DetectionUnified Modeling of Lane and Lane Topology for Driving Scene Reasoning
Autonomous vehicles need to perceive not only physical elements in the driving scene, such as lane lines and traffic lights, but also logical elements like lane centerlines and their topology. Existing lane topology reas…
Autonomous VehiclesLane DetectionVision-Based Lane Following and Traffic Sign Recognition for Resource-Constrained Autonomous Vehicles
Autonomous vehicles (AVs) rely on real-time perception systems to understand road environments and ensure safe navigation. However, implementing reliable perception algorithms on resource-constrained embedded platforms r…
Traffic Sign RecognitionAutonomous VehiclesAutonomous DrivingLane DetectionMapATM: Enhancing HD Map Construction through Actor Trajectory Modeling
High-definition (HD) mapping tasks, which perform lane detections and predictions, are extremely challenging due to non-ideal conditions such as view occlusions, distant lane visibility, and adverse weather conditions. T…
Trajectory ModelingAutonomous DrivingLane DetectionLightweight Spatiotemporal Highway Lane Detection via 3D-ResNet and PINet with ROI-Aware Attention
This paper presents a lightweight, end-to-end highway lane detection architecture that jointly captures spatial and temporal information for robust performance in real-world driving scenarios. Building on the strengths o…
Instance SegmentationLane DetectionMonoSIM: An open source SIL framework for Ackermann Vehicular Systems with Monocular Vision
This paper presents an open-source Software-in-the-Loop (SIL) simulation platform designed for autonomous Ackerman vehicle research and education. The proposed framework focuses on simplicity, while making it easy to wor…
Lane DetectionPoseDriver: A Unified Approach to Multi-Category Skeleton Detection for Autonomous Driving
Object skeletons offer a concise representation of structural information, capturing essential aspects of posture and orientation that are crucial for autonomous driving applications. However, a unified architecture that…
Multi-Task LearningAutonomous DrivingLane DetectionHG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
Lane detection is a crucial task in autonomous driving, as it helps ensure the safe operation of vehicles. However, existing datasets such as CULane and TuSimple contain relatively limited data under extreme weather cond…
Autonomous DrivingLane DetectionAll-Optical Segmentation via Diffractive Neural Networks for Autonomous Driving
Semantic segmentation and lane detection are crucial tasks in autonomous driving systems. Conventional approaches predominantly rely on deep neural networks (DNNs), which incur high energy costs due to extensive analog-t…
Semantic SegmentationAutonomous DrivingImage SegmentationLane DetectionEfficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
Lane detection is a crucial perception task for all levels of automated vehicles (AVs) and Advanced Driver Assistance Systems, particularly in mixed-traffic environments where AVs must interact with human-driven vehicles…
Computational EfficiencyLane DetectionReal-Time Lane Detection via Efficient Feature Alignment and Covariance Optimization for Low-Power Embedded Systems
Real-time lane detection in embedded systems encounters significant challenges due to subtle and sparse visual signals in RGB images, often constrained by limited computational resources and power consumption. Although d…
Lane DetectionEPSM: A Novel Metric to Evaluate the Safety of Environmental Perception in Autonomous Driving
Extensive evaluation of perception systems is crucial for ensuring the safety of intelligent vehicles in complex driving scenarios. Conventional performance metrics such as precision, recall and the F1-score assess the o…
Autonomous DrivingObject DetectionLane DetectionCoLD Fusion: A Real-time Capable Spline-based Fusion Algorithm for Collective Lane Detection
Comprehensive environment perception is essential for autonomous vehicles to operate safely. It is crucial to detect both dynamic road users and static objects like traffic signs or lanes as these are required for safe m…
Autonomous VehiclesMotion PlanningLane DetectionData Augmentation Strategies for Robust Lane Marking Detection
Robust lane detection is essential for advanced driver assistance and autonomous driving, yet models trained on public datasets such as CULane often fail to generalise across different camera viewpoints. This paper addre…
Autonomous DrivingData AugmentationLane DetectionDevelopment of a Testbed for Autonomous Vehicles: Integrating MPC Control with Monocular Camera Lane Detection
Autonomous vehicles are becoming popular day by day not only for autonomous road traversal but also for industrial automation, farming and military. Most of the standard vehicles follow the Ackermann style steering mecha…
Autonomous VehiclesLane DetectionSAMIRO: Spatial Attention Mutual Information Regularization with a Pre-trained Model as Oracle for Lane Detection
Lane detection is an important topic in the future mobility solutions. Real-world environmental challenges such as background clutter, varying illumination, and occlusions pose significant obstacles to effective lane det…
Lane DetectionPandar128 dataset for lane line detection
We present Pandar128, the largest public dataset for lane line detection using a 128-beam LiDAR. It contains over 52,000 camera frames and 34,000 LiDAR scans, captured in diverse real-world conditions in Germany. The dat…
BEV SegmentationLine DetectionLane Detection