VITS-A Vision System for Autonomous Land Vehicle Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Color region tracking for vehicle guidance
Active vision
Divergent stereo in autonomous navigation: from bees to robots
International Journal of Computer Vision - Special issue on qualitative vision
Uncalibrated obstacle detection using normal flow
Machine Vision and Applications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Combining multiple goals in a behavior-based architecture
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Evolutionary behavior learning for action-based environment modeling by a mobile robot
Applied Soft Computing
Multiobjective Evolution of Neural Controllers and Task Complexity
IEEE Transactions on Robotics
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In this paper, we present an evolutionary approach for vision-based robot navigation in human environments. In our method, we convert the captured image in a binary one, which after the partition is used as the input of the neural controller. The neural control system, which maps the visual information to motor commands, is evolved online using real robots. We show that evolved neural networks performed well in indoor human environments. Furthermore, we compare the performance of neural controllers with an algorithmic vision-based control method.