Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments
International Journal of Robotics Research
Improvement of an association algorithm for obstacle tracking
Information Fusion
Mobile robot formation control using a modified leader-follower technique
Integrated Computer-Aided Engineering
Cheap Joint Probabilistic Data Association filters in an Interacting Multiple Model design
Robotics and Autonomous Systems
WSEAS Transactions on Computers
Robotics and Autonomous Systems
Dynamic Tracking System through PSO and Parzen Particle Filter
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Analysis of multiresolution-based fusion strategies for a dual infrared system
IEEE Transactions on Intelligent Transportation Systems
Online boosting for vehicle detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
A DSP-based lane departure warning system
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Automatic vehicle detection using statistical approach
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A multi-objective approach to evolving platooning strategies in intelligent transportation systems
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Presents the methods for sensing obstacles and vehicles implemented on the University of Parma experimental vehicle (ARGO). The ARGO project is briefly described along with its main objectives; the prototype vehicle and its functionalities are presented. The perception of the environment is performed through the processing of images acquired from the vehicle. Details about the stereo vision-based detection of generic obstacles are given, along with a measurement of the performance of the method; then a new approach for leading vehicles detection is described, relying on symmetry detection in monocular images. The paper concludes with a description of the current implementation of the control system, based on a gain scheduled controller, which allows the vehicle to follow the road or other vehicles