Tesla Releases New FSD Risk Avoidance Video in Europe, Edge Case Videos as Strongest Lobbying for Regulation
Tesla's European account released the latest FSD Supervised video, showcasing the system actively avoiding accidents and preventing pedestrian collisions on roads in Spain, France, Germany, Finland, the UK, Lithuania, Switzerland, the Netherlands, Italy, and other countries.
The video includes edge cases such as avoiding head-on collisions with trucks, safely navigating around cyclists, emergency braking for hidden pedestrians, handling roundabout conflicts, and yielding to school groups and emergency vehicles, some of which occurred in countries where FSD has not yet been approved.
The system has accumulated over 2.2 million kilometers of training tests across 19 European countries, demonstrating the neural network's ability to generalize predictions across different scenarios, still requiring supervision from safety operators at the L2 level.
Previous similar videos have showcased the system's performance under diverse European road conditions, with Tesla emphasizing that these rare edge cases are unlikely to be encountered by the average person in their lifetime.
The Netherlands has been the first to approve FSD Supervised, followed by mutual recognition from Lithuania, Estonia, Denmark, Belgium, and others, while Germany, France, Italy, and Spain are still awaiting a comprehensive decision from the EU.
Tesla's data shows that in the 5 approved countries, the collision rate for FSD Supervised is 5.2 times lower than that of human driving, and 8.5 times lower on highways.
From a market perspective, the video reinforces the safety narrative, driving investor attention towards the pace of regulatory implementation, with funding flowing towards autonomous driving players with scalable data advantages. Delayed approvals continue to pose risks for existing human driving, putting pressure on the large European automotive market and traditional automakers' assisted driving solutions that have yet to open up.
Source: Public Information
ABAB AI Insight
Tesla continues to accumulate edge case data through real road testing videos in Europe, having quickly expanded to mutual recognition across multiple countries after receiving approval in the Netherlands, and publicly sharing 65 million kilometers of safety comparison data, continuing its "shadow mode + large fleet" approach to prove the system is superior to human drivers.
On the capital front, Tesla is turning regulatory delays into a public opinion and data advantage, pressuring European regulators through public videos and safety statistics, while paving the way for future commercialization of driverless taxis, concentrating funding and R&D resources on neural network generalization rather than traditional rule engineering.
Similar cases can be seen with Waymo gradually expanding in U.S. cities and Chinese automakers demonstrating operations in specific areas. Currently, Europe is in a transitional phase from partial approvals to overall mutual recognition, with Tesla using data from approved countries to push for markets that have not yet been approved.
This essentially represents the cost of regulatory lag in the acceleration of technological replacement: when the system has demonstrated a higher safety margin in real complex scenarios, approval delays directly translate into quantifiable potential casualties and social cost transfers.
ABAB News · Law of Cognition
Data mileage proves safety earlier than regulatory documents
Edge case videos are the strongest lobbying for regulation
Delayed approvals equate to leaving accident costs to humans