Tesla’s ‘Assertive’ Mode Introduces Self-Driving Cars to ‘Rolling Stops’


Tesla’s ‘Assertive’ Mode Gives Self-Driving Cars ‘Rolling Stops’

The Assertive feature could lead to more rolling stops, which could be illegal in the United States.

Tesla has reintroduced its Full Self-Driving (FSD) profiles, which were removed from an October update three months ago.

The three driving profiles, labeled “Chill,” “Average,” and “Assertive,” determine how FSD-equipped Teslas behave in various scenarios and the level of risk they may take when making decisions.

The Verge first reported on images of the profile settings, which show in-vehicle descriptions associated with the settings that control the vehicle’s follow distance and lane change frequency.

The assertive profile, according to the images, “will have a smaller follow distance, perform more frequent speed lane changes, will not exit passing lanes, and may perform more rolling stops.” Tesla’s wording on rolling stops is unclear, especially since rolling stops at stop signs are generally illegal in the United States.

Tesla has yet to respond to Gizmodo’s request for comment.

According to images posted by Twitter user @digitalhen, the “Chill” profile aims to have Teslas maintain a larger following distance and perform fewer speed lane changes.

FSD’s “Average” profile, like assertive, aims for a happy medium, though it may engage in more rolling stops.

FSD profiles were included in a late-last-year over-the-air update from Tesla, but they were quickly removed after CEO Elon Musk reported “some issues” that caused some drivers to be unable to use the feature at all.

One of the most difficult challenges for autonomous vehicle development is striking a balance between public safety and personal driver convenience, a tradeoff dictated as much by philosophy as technical performance.

To put that in context, one of the most popular rallying cries among proponents of autonomous vehicles is that more AVs on the road will reduce crashes, because the majority of crashes currently occur due to human error.

A 2020 scenario, on the other hand,


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