Tesla supplements maps with fleet data between updates

Hacker @greentheonly has revealed how Tesla uses fleet data to makes changes to its maps between updates. The technique significantly improves the user experience for Autopilot and Full Self-Driving (FSD) packages as it helps to provide more updated and accurate information.

Green says Tesla combines map data and cloud-based technologies to suggest alternative routes for drivers. This approach means Tesla can provide more customized guidance for a smoother and more efficient navigation experience.

Tesla provides map corrections on locations of signs, crosswalks, and other traffic info with unusual accuracy. The data is vital for drivers using Autopilot and FSD because the car can navigate more complex traffic situations more safely with access to accurate info on lanes, directions, and color-coded speed data.

Green’s revelation proves that setting routes helps to optimize Autopilot and FSD performances. This is because when a route is set, the system gets the required info on the route ahead, meaning the car has access to the most recent and accurate data for navigation.

Owners have often claimed that their car appears to drive “better” on FSD Beta on the second or third time it drives a particular route, and green says this is probably why.

The cars themselves are an essential component in keeping the maps up-to-date. They send data on speed limits detected on the road to Tesla servers in two minutes intervals. Green has demonstrated how Tesla leverages fleet data and cloud-based computation to improve the mapping experience for its drivers.

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