Tesla updates its in-car navigation system and adds lane-level advice in China

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Tesla updates its in-car navigation system and adds lane-level advice in China
Tesla updates its in-car navigation system and adds lane-level advice in China

On Friday, a software update was released in China for Tesla’s in-car navigation system. The updated version has more features, such as map lane markers that correspond to the actual road lanes.

A software update for Tesla’s (TSLA.O) in-car navigation system was published in China on Friday. The new version includes additional features, including lane markers on the map that match the actual lanes on the road. Along with a number of new features included in the most recent over-the-air update, the business announced the update on its official WeChat account. It stated that these additions would lessen consumers’ reliance on smartphone applications while driving.

Although Baidu is the map supplier, Tesla did not name the company that provides the lane-related mapping service, according to a Friday report. Tesla and Huawei are two of the clients listed on the V20 Baidu Maps, which were first announced for distribution in April by Baidu (9888.HK), which opens a new tab. Since 2020, Baidu has supplied Tesla with navigation maps. The business claims that lane-level navigation, which is new to Baidu Maps V20, can give human drivers comprehensive road information and lane recommendations to improve driving safety and enjoyment.

On social media, Chinese consumers have bemoaned the lack of detail in Tesla’s in-car navigation map compared to smartphone maps. Tesla was not immediately available for comment from China. It was reported last month that Tesla, which solely uses cameras as sensors for its autonomous driving technology, is currently introducing its “Full Self-Driving” (FSD) software system in China. The company has made progress recently as it gets ready to register this cutting-edge feature with authorities.

Navigation maps are commonly used in China to give traffic information to human drivers, in contrast to high-definition maps that gather more sensitive, in-depth geographic data to act as an extra sensor for autonomous driving cars.

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