👉 Nav computing, or navigation computing, refers to the advanced computational techniques and algorithms used to process and analyze data for autonomous navigation in vehicles, drones, and other mobile systems. It involves integrating various sensor inputs, such as GPS, LiDAR, radar, and cameras, to create a comprehensive understanding of the vehicle's environment in real-time. This process enables the system to map its surroundings, detect obstacles, and make informed decisions about path planning and control. Nav computing leverages machine learning, artificial intelligence, and data fusion methods to enhance the accuracy, reliability, and efficiency of navigation, ensuring safe and optimal movement in dynamic and complex environments. By continuously learning from new data, these systems improve their performance over time, adapting to different terrains, weather conditions, and traffic scenarios.
