Introduction to Motion Estimation Motion estimation is a powerful technology for understanding the movement of objects in digital images. It allows machines to detect, analyze, and model motion patterns in order to better understand their environment. With advancements in artificial intelligence (AI) and machine learning, motion estimation has become an indispensable part of autonomous systems. Motion estimation is the process of determining how much and in what direction an object moves between two or more frames of a video sequence.

Introduction to Artificial Intelligence Artificial Intelligence (AI) is a form of technology that has revolutionized the way we interact with everyday tasks and technology. AI allows machines to think, understand, and even learn from their environment in order to make decisions on their own. For example, AI can be used to automate processes such as motion detection. Motion detection is the process of detecting changes in an image or video stream over time.

Introduction to Motion Estimation Motion estimation is a key component of robotics and autonomous vehicle navigation. It is essential for robots to be able to sense their environment, recognize objects and obstacles, and move around their environment accurately. Motion estimation allows robots to measure the displacement of objects in their environment, both relative to themselves and relative to other objects in the environment. In this article, we will explore what motion estimation is, the benefits it can provide for autonomous navigation systems, various techniques used in motion estimation, some challenges associated with its implementation, real-world applications of motion estimation algorithms, and future research directions.