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Road Segmentation
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Road Segmentation is a pixel wise binary classification in order to extract underlying road network. Various Heuristic and data driven models are proposed. Continuity and robustness still remains one of the major challenges in the area.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Boosting Off-Road Segmentation via Photometric Distortion and Exponential Moving Average
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing
Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions
Pathfinder for Low-altitude Aircraft with Binary Neural Network
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised
Brightearth roads: Towards fully automatic road network extraction from satellite imagery
ALINA: Advanced Line Identification and Notation Algorithm
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
RS-Mamba for Large Remote Sensing Image Dense Prediction
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning
Exploiting Low-level Representations for Ultra-Fast Road Segmentation
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
AI Powered Road Network Prediction with Multi-Modal Data
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation
Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites
Lidar Annotation Is All You Need
High-Resolution Building and Road Detection from Sentinel-2
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms
Multi-Modal Multi-Task (3MT) Road Segmentation
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild
Building and Road Segmentation Using EffUNet and Transfer Learning Approach
Polarimetric Imaging for Perception
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local experts
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