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Tesla Patent reveals how FSD works: View into the autonomous system

Tesla Patent reveals how FSD works: View into the autonomous system

Tesla has provided deep insights into the technology of its autonomous system with a recently published patent. Full Self-Driving (FSD)-system. The patent explains the complex functions behind FSD and shows how Tesla's vision-based system detects, analyzes and reacts to the environment. Here is an overview of how Tesla's autonomous system is structured and functions.

Vision-based system: The "eyes" of FSD

Tesla's FSD system is based entirely on cameras and does not use lidar sensors, which many other manufacturers use. The cameras are positioned to provide a 360-degree view of the vehicle's surroundings and capture images from different perspectives. This allows FSD to capture the world around the vehicle as accurately as possible - similar to human vision, but with the ability to process much more detailed and multiple angles of view simultaneously.

Two parallel systems: VRU and non-VRU

A key element of the system is the division into two processing units: Vulnerable Road Users (VRUs) and non-VRUs. VRUs include everything that is vulnerable, such as pedestrians, cyclists and animals. Non-VRUs, on the other hand, are other vehicles, traffic obstructions and road signs. This division allows FSD to react faster and more specifically to people and objects and to better prioritize hazards.

Virtual cameras and 3D mapping

The next step is to process the image data in the form of so-called virtual cameras. These create a 3D map of the environment from different heights. The VRU camera, for example, is at eye level to better interpret human behavior, while the non-VRU camera is positioned at a higher level to keep an eye on obstacles and the flow of traffic. Together with other vehicle data such as speed and direction of movement, this creates a dynamic, updated 3D map of the surroundings.

Temporal indexing for precise movement tracking

The FSD system uses Temporal Indexingto perceive objects not just as still images, but as moving sequences. This allows the system to predict trajectories and predict the position of vehicles or pedestrians, even if they are temporarily invisible. This function is particularly valuable in situations with heavy traffic, as it allows the system to maintain an overview of the entire traffic situation.

End-to-end training for better system performance

Another highlight of the patent is the so-called end-to-end training. The FSD system learns as a whole so that all components can work together optimally. This increases the efficiency and accuracy of the system and enables continuous improvement of the entire technology.

Summary

Tesla's FSD system is based on a combination of advanced image processing, hazard prioritization and 3D mapping, all working in real time. This patented system can interpret complex scenes in real time, predict movements and make decisions that allow the vehicle to navigate safely through traffic. With this "autonomous brain Tesla pioneering the development of an autonomous driving system that is not only reliable but also impressively precise.

Keywords: Tesla, FSD, full self-driving, autonomous driving, Tesla Model Y, Tesla Model 3, Tesla accessories, Tesla Store, Shop4Tesla, Tesla News


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