Intensity and edge-based symmetry detection with an application to car-following
CVGIP: Image Understanding
Artificial neural networks in real-time car detection and tracking applications
Pattern Recognition Letters - Special issue on neural networks for computer vision applications
Vehicle Segmentation and Classification Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Surveillance for Moving Vehicles
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Preceding vehicle recognition based on learning from sample images
IEEE Transactions on Intelligent Transportation Systems
Vision based approaches for driver assistance systems
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
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Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm.