What are the functions of Tesla FSD?
3 Answers
FSD stands for Full-Self-Driving-Computer, which can be understood as an upgraded hardware version of the AP function, enabling Tesla electric vehicles to achieve fully autonomous driving capabilities. The relevant details are as follows: 1. The autonomous driving feature equipped in Tesla is actually an advanced driver-assistance system, which still requires active monitoring by the driver and has not achieved true "autonomous driving." 2. Tesla vehicles are equipped with a total of 8 cameras around the body, providing a 360-degree field of view, with the maximum monitoring distance of the surrounding environment reaching up to 250 meters.
As an experienced owner who has gone through the upgrade, I can share my real-world experience with Tesla's FSD. The most impressive aspect is its autonomous navigation on highways, where it handles ramp exits, highway switches, and rarely requires my intervention. City street driving is equally intelligent—it stops automatically at red lights, observes pedestrians at intersections when starting on green, and smoothly navigates around obstacles with precise lane recognition. The auto-park and summon features are especially handy in tight parking spots; just tap your phone, and the car moves itself out. However, it's crucial to remember that this is an assist system—legally, hands must stay on the wheel, and human judgment is still needed for unexpected situations. In some North American regions, a traffic light recognition beta is available, while the Chinese version offers slightly fewer features but retains the core experience.
Friends who follow automation will surely be curious about the evolution trajectory of FSD. From the initial highway adaptive cruise control to now, it can already handle complex urban road conditions: automatically selecting lanes based on navigation, judging roundabout rules, and even waiting for oncoming traffic during unprotected left turns. Through shadow mode learning from massive data, it can now effortlessly recognize construction cones, bicycles, and even small dogs. What impresses me the most is its three-dimensional spatial modeling capability, where eight cameras stitch together a 360-degree dynamic map of the vehicle in real-time, maintaining stability even in rainy conditions. The recently updated V12 version uses neural networks to directly control the steering wheel, making reactions more akin to an experienced driver. However, it's important to emphasize that it remains an L2 system, and the driver always bears the safety responsibility.
