Hierarchical SVM classifier for road intersection detection and recognition

This paper describes a hierarchical multi-classification approach for road intersection detection and classification using Support Vector Machines. Our approach has been organized in two main parts. The first involves the road detection in the bird´s eye view image using an edge-based approach. In this step, we have exploited the concept of vertical spoke for road boundary extraction. The second step deals with the problem of road intersection detection and classification by hierarchical classification of the extracted road forms using the Unbalanced Decision Tree architecture. Many measures are incorporated for good evaluation of the proposed solution.