Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens Wu Yanzu in South China for the delivery of clues! CTOnews.com September 1 news, Zhiji announced today that its intelligent driving assistance NOA coverage has been expanded again, adding 4 provinces and 6 cities.

Specifically, the new provincial highways include Hubei, Henan, Shaanxi and Hunan provinces, as well as elevated highways in Wuhan, Zhengzhou, Xi'an, Changsha and Chongqing, as well as highways in Tianjin.

At the same time, Zhiji said that all high-speed and elevated NOA across the country will be opened by the end of the year. Zhiji Automobile also announced the follow-up push plan for IM AD, and CTOnews.com arranged as follows:

The first city of the expressway NOA:2023 landed in April of the year → radiated 333 cities nationwide in December 2023.

Urban NOA:2023 began its internal test in April, and → was officially tested in Shanghai in October 2023, entering the "urban NOA era" at the same time.

Go to Gaojing Map NOA:2023 started internal testing in April, → started public testing in September 2023, and entered the "NOA era without maps".

Commuter mode: "opening all cities together" in 2024

Door to Door (full scene commuter): landing in 2025, suitable for most scenarios.

Zhiji Automobile's new model, Zhiji LS6, made its world debut and opened a blind reservation during the 2023 Chengdu Auto Show, with a pre-sale of 2.3 million yuan, which will be launched and delivered in October this year. Officials say the order for the car has exceeded 6000 in eight hours since it was blindly booked.

The length, width and height of Zhiji LS6 body are 4904mm / 1988mm / 1669mm, and the wheelbase is 2950mm. The car is equipped with POPO Sofa cloud seat, seat width up to 1330mm, rear seat cushion into deep 517mm, rear backrest support 10 °adjustment. In addition, the model is equipped with intelligent self-generated large model (Beta version), based on the new multimodal perception and AI algorithm, known as "integration of hundreds of billions of parameters + machine learning ability + natural language processing", can accurately identify all instructions, with multi-human interaction.

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