Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Protection Systems: Issues, Survey, and Challenges
IEEE Transactions on Intelligent Transportation Systems
Ant Colony Optimization for Image Regularization Based on a Nonstationary Markov Modeling
IEEE Transactions on Image Processing
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This study deals with the estimation of the road surface markings and their class using an onboard camera in an Advanced Driver Assistance System (ADAS). The proposed classification is performed in 3 successive steps corresponding to 3 levels of abstraction from the pixel to the object level through the connected-component one. At each level, a Markov Random Field models the a priori knowledge about object intrinsic features and object interactions, in particular spatial interactions. The proposed algorithm has been applied to simulated data simulated in various road configurations: dashed or continuous lane edges, road input, etc. These first results are very promising.