Prediction Of Occupancy Grid Maps

Occupancy Grid Maps are a type of probabilistic map used to represent the spatial occupancy of an environment, commonly applied in robot navigation and environmental perception. By acquiring sensor data through computer vision technology, this method can predict the probability of each area being occupied in the environment, providing critical information for object detection, path planning, and obstacle avoidance. The core objective is to enhance the autonomy and adaptability of robots, enabling them to navigate efficiently and safely in dynamic environments. The application value of predictive models lies in improving the robustness and real-time performance of the system, supporting intelligent decision-making in complex scenarios.