Dynamic neural estimation for autonomous vehicles driving
Mobile robots and vehicles may be driven by dynamical neural networks which utilize image data of real-world scenes collected through a TV camera for learning and performance. An innovative system for road direction detection is proposed which is comprised of three specialized blocks performing edge extraction, image-segments detection, and road direction estimation. The road direction estimation block is implemented as a feedback neural network.<<ETX>>