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Tesla is improving car visuals to differentiate cars in its lineup



Tesla is working to improve its Autopilot vehicle visualizations to differentiate cars in its lineup.

Over the past year, Tesla has made many efforts to improve its car visualizations.

Powered by the Autopilot sensor suite and automatic computer visual system, Tesla displays the vehicle’s surroundings on the screen.

By no means is it a substitute for looking around the car, but it is rated as a confidence builder for Autopilot.

Visualizations have improved over the years, and they are increasingly showing the environment more accurately, with Tesla adding trucks, SUVs, motorcycles and pedestrians over the years.

Recently, Tesla has implemented significant updates to give traffic lights and stop signs as it prepares to release more driver assistance features for running the city.

Now Tesla is also adding some new presenters to distinguish the models and types of vehicles on the road, as reported by the Tesla Green hacker:

As shown in the figure, Tesla will introduce the presenters of its current vehicle lineup, Model X, Model 3, Model S and Model Y.

It is also preparing to provide service vehicles and construction vehicles.

As we reported recently, Tesla is undergoing “a major fundamental overhaul in Tesla Autopilot.” As part of the rewrite, CEO Elon Musk says “the neural network is increasingly absorbing the problem.”

It will also include a more in-depth labeling system.

The CEO added that it will “dramatically improve” the visualization of Autopilot and Tesla will be able to speed up repetitions of the best iterations.

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The car’s visualization is great for building confidence in Tesla’s driver assistance system and ultimately, Tesla’s self-driving system.

If he accurately represents his environment, it means that he discovers it accurately – now whether or not he acts properly in it is another thing, but it is a step in the right direction.

The discovery of a specific vehicle model does not change much, but it does show the capability of Tesla’s computer vision system.

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