Abstract:
Terrain recognition plays a critical role in autonomous systems such as drones, self-driving vehicles, and robotics, enabling accurate navigation through various environments. This project applies deep learning techniques to classify terrain types, such as grassy, marshy, sandy, and rocky, based on visual inputs. By leveraging convolutional neural networks (CNNs) trained on terrain imagery, the system aims to identify and differentiate between different classes of terrains, offering ....