This week, electric car giant Tesla officially launched Full Self-Driving (FSD) in Australia and New Zealand. Owners can enable the feature directly via an over-the-air (OTA) update, eliminating the need for a factory activation. This marks the first time the full version of FSD has been available in both countries, marking a milestone in Tesla's autonomous driving expansion in the Asia-Pacific region while also sparking heated discussions about safety, adoption, and regulation.
This article will start with its definition and characteristics, and explore its current usage, global approval status, future development plans, challenges it faces, and its multifaceted impact on society, economy, and security.
What is FSD? Core Features
Full Self-Driving (FSD), also known as "Full Autopilot," is an advanced driver-assistance system developed by Tesla. According to the Society of Automotive Engineers (SAE) standards, FSD currently qualifies as Level 2 autonomous driving technology. This means that while the system handles most driving tasks, the driver still needs to remain attentive and ready to take over at any time.
The current version of FSD uses the vehicle's cameras, radar, and ultrasonic sensors, combined with artificial intelligence (AI), to enable intelligent navigation, steering, lane changes, parking, and summoning. It can automatically plan routes and handle complex traffic scenarios such as city streets, roundabouts, and highway merges.
Unlike traditional Autopilot, FSD focuses on end-to-end AI learning, using neural networks to process visual input rather than relying on traditional maps or LiDAR. This allows the system to operate more like a human driver and adapt to unknown environments, but it also requires continuous training to improve accuracy.
What are the SAE levels of automated driving?
Level 0: No Automation
System Capabilities : No autonomous driving features at all. The vehicle may have some warning systems (such as blind spot detection warning sounds), but the system itself will not intervene or control the vehicle's steering, acceleration, or braking.
Driving Role : The driver must perform all driving-related tasks throughout the entire process.
Common examples : Traditional older cars, vehicles without cruise control.
Level 1: Driver Assistance
System Capability : The system can independently assist with a single driving task, such as steering or acceleration. The driver must simultaneously perform another task.
Driving role : The driver remains the primary operator and needs to stay focused and be ready to take over at any time.
Common examples :
Active Cruise Control (ACC): The system automatically accelerates and decelerates to maintain the distance from the vehicle in front.
Lane Keeping Assist (LKA): The system assists with steering to keep the vehicle in its lane.
Level 2: Partial Automation
System Capabilities : The system can simultaneously assist with both steering and acceleration/deceleration. This is the most mainstream level of assisted driving currently on the market.
Driving Role : The driver must monitor the driving environment at all times and be ready to take over immediately. Although the system appears to be driving itself, the driver must keep their hands on the steering wheel and focus on the road. Legal and system responsibilities remain with the driver.
Common examples :
Tesla's FSD
Ford's Co-Pilot360™
Volvo's Pilot Assist
Key difference: The primary responsibility for Level 0 to Level 2 is for the human driver . Even when the system is operating, the driver must monitor and assume full responsibility at all times.
Level 3: Conditional Automation
System Capability: Under specific, limited conditions (e.g., highways, good weather, low-speed congestion), the system can fully perform all driving tasks, including monitoring the surrounding environment.
Driving Role: When the system is activated, the driver can temporarily divert their attention from the driving task (for example, by looking at their phone or watching a video). However, the driver must remain alert and be able to immediately resume control of the vehicle when the system issues a takeover request.
Responsibility transfer: This is the first level where responsibility transfer begins. While the system is operating, driving responsibility is assumed by the system; however, when the system requests to take over, responsibility is transferred back to the human driver.
Common examples:
Mercedes-Benz DRIVE PILOT (already legal in Germany and some US states)
Honda SENSING Elite (installed on Legend models in the Japanese market)
Level 4: High Automation
System Capabilities : The system can operate fully autonomously under most conditions and can handle system failures or abnormal situations independently.
Driving Role : Within the designed operating range, the driver requires no intervention or monitoring. Vehicles can even be designed without a steering wheel or pedals. If the vehicle leaves its designed operating range (for example, on a country road or in inclement weather), the system will safely pull over to the side of the road without requiring human intervention.
Responsibility transfer : Within the scope of designed operation, the responsibility lies entirely with the system.
Common examples :
Tesla's Robotaxi service
Baidu's Apollo driverless bus
Automated Valet Parking (AVP) within a limited area
Level 5: Full Automation
System Capability : The system is capable of performing all driving tasks at any time, in any location, and in any weather or road conditions. It can do everything an experienced human driver can do.
Driving Role : There will no longer be a human driver in the car, and there may even be no passengers. Vehicles will be designed without a steering wheel, accelerator or brake pedals.
Responsibility transfer : The responsibility always lies with the autonomous driving system.
Common example : There are currently no commercialized or realized Level 5 vehicles. This remains the ultimate goal of autonomous driving technology.
Current FSD usage and adoption rates in various countries
As of the end of August 2025, FSD usage showed rapid progress, but adoption still faced challenges. Tesla reported that FSD (Supervised) had accumulated approximately 4.74 billion miles of driving, demonstrating widespread real-world application.
In terms of safety data, the second quarter 2025 Vehicle Safety Report indicates that vehicles using FSD experience a crash every 10 million miles, compared to an average of one crash every 1.3 million miles without the assistance system. This makes FSD approximately 10 times safer than the average American driver. This is due to FSD's ability to handle complex situations without fatigue or alcohol.
However, adoption remains low. A survey this year showed that only 14% of US consumers said FSD would make them more likely to buy a Tesla, while 36% believed Tesla vehicles were unsafe, an increase from previous months. Tesla is currently working on improving its design studios and offering FSD subscription and trial options to boost adoption.
Global autonomous driving market adoption is projected to grow at a compound annual growth rate (CAGR) of 22% through 2030, but Tesla faces slow adoption challenges, partly due to regulatory and consumer concerns. Elon Musk stated at X that Tesla is focused on getting more owners to try out FSD to prove its value.
Global Approvals and Expansions
FSD's global availability is subject to regulatory approval and is currently limited to specific countries. This year, FSD (Supervised) has officially launched in the United States, Canada, China, Mexico, Puerto Rico, Australia, and New Zealand, and Tesla is actively preparing to enter more markets, including Japan and Thailand.
In Europe, the situation is still in the regulatory review and testing phase and has not yet been fully opened. However, some regions, such as Norway, have allowed supervised FSD public road testing under specific conditions. The new EU regulations are being approved at an accelerated pace, but data privacy and security hurdles still need to be overcome.
It will be gradually implemented in China in Q1 2025 , and it is expected that at the end of the third quarter or the fourth quarter of this year, a large-scale software update will be officially pushed to all Chinese car owners who have purchased FSD.
Future Planning and Roadmap
Tesla's FSD roadmap for this year focuses on transitioning from supervised to unsupervised driving. Musk stated in early August that FSD v14 would be released in approximately six weeks (around September), predicting a 10x increase in parameters, significant improvements in safety, and video compression.
On the other hand, FSD has been fully integrated into Tesla's driverless taxi Robotaxi, and it is expected that there will be one million vehicles on the road by the end of 2026. Musk emphasized that FSD will operate in all weather conditions and does not require map reliance, providing a more convenient and safer mobility experience for everyone.
Challenges Facing FSD
But despite its potential, FSD faces multiple challenges that hinder its widespread adoption and development.
First, consumer concerns are a major obstacle: According to a CNBC report this week, only 14% of 8,000 Americans surveyed said that FSD would make them more likely to buy a Tesla; 35-36% of American buyers viewed FSD as a purchase obstacle rather than an attraction.
The remaining 51% of respondents said that whether Tesla supports the FSD function has no impact on their car purchasing decision.
Second, regulatory and regional challenges: Strict data privacy and security regulations in Europe have led to delays; rollout in China has also encountered limitations; and inconsistent global regulations have forced Tesla to adjust country by country. Furthermore, technical challenges include handling unusual conditions, severe weather, and complex intersections. While the upcoming v14 update is expected to improve this, it still requires frequent driver attention, which users describe as annoying.
Finally, sales pressure, such as Tesla's sales in the European market in July plummeting 40.2% compared with the same period last year, marking the seventh consecutive month of significant decline, highlights that FSD needs to prove its value to overcome these obstacles.
In summary, FSD is a milestone for Tesla and will lead the autonomous driving revolution. However, success depends on overcoming challenges, increasing adoption, and continuing innovation.
