What happened
Euro NCAP published its 2025 results for the Tesla Model Y on 17 November 2025 and gave the car five stars. Its Collision Avoidance Assist brakes automatically and warns of a collision, with a camera as its sensor. Euro NCAP found that the braking responded to pedestrians, cyclists and other vehicles. In the pedestrian tests, it performed well, with adequate protection of people behind the car. It scored 8.0 of 9 points for pedestrians and 8.0 of 8 for cyclists. It scored 6.0 of 6 for motorcyclists and 8.8 of 9 for other cars. The car's score for safety assist, which includes the braking tests with other cars, was 92%. In January 2026, Euro NCAP named the Model Y the best small SUV that it had tested in 2025. The tests ran on test tracks, so no crash avoided on public roads is reported. Euro NCAP does not mention AI or machine learning in the datasheet.
Sources
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Assessment report, by authors with no tie to the system.
The autonomous emergency braking system of the Tesla Model Y responds to vulnerable road users such as pedestrians and cyclists, as well as to other vehicles. In tests of its response to pedestrians the system performed well overall, with adequate protection of those to the rear of the car.
Overall, the performance of the autonomous emergency braking (AEB) system was good in tests of its reaction to other vehicles.
Details
AI system
- Workflow
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The system uses a camera to detect vehicles, pedestrians, cyclists and motorcyclists ahead. Collision warnings and automatic braking work from 1 km/h.
Follow-up
- Conditions for replication
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The scores apply to the Model Y variants that the datasheet lists. The scenarios are set tests, such as a child running out from behind parked cars.
Entry details
- Sector
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Road vehicle crash avoidance.
- Purpose
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Tesla built Collision Avoidance Assist to warn the driver and brake automatically when a collision with a vehicle or a person on the road is likely.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Collision Avoidance Assist brakes well for pedestrians and cyclists (AIBD-0819). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0819.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)