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2025-09-23 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Thanks to CTOnews.com netizen Alejandro86 for the clue delivery! CTOnews.com, October 17, at the 2023 Lai Innovation and Technology Day held last month, Li Bin announced that Weilai's first self-developed chip would be produced in October, claiming to be the industry's first self-developed lidar master chip, known as "Yang Jing" in Chinese. Now, the company is applying for registration of "Weilai Yangqi" as a trademark.
▲ State intellectual property Office Trademark Office website screenshot shows that Weilai Automotive Science and Technology (Anhui) Co., Ltd. submitted an application for registration of "Weilai Yangyi" on September 21, 2023, which is internationally classified as a scientific instrument, and the current trademark status is awaiting substantive examination.
It is worth mentioning that Weilai added this trademark to a number of similar groups. Include computer software (recorded), chat robot software for analog conversation, downloadable mobile phone application software, central processing unit (CPU), software to promote human-computer interaction, computer programs (downloadable software), all-in-one TV computer, interactive software based on artificial intelligence, smart glasses (data processing), chip circuit cards, interactive touch screen terminals, chip cards, operating system programs, Interactive computer system and so on. This also prepares ahead of time for the application of the name "Weilai Yang Yan" in other fields.
Screenshot of ▲ press conference as previously reported by CTOnews.com, the Xilai Yangqi chip uses 8-core CPU, has 8 sampling channels, 9Bit sampling depth, and a sampling rate of 1GHz, which is known as "50% reduction in power consumption, 30% reduction in latency, and 8 million / s point cloud processing capacity per second".
Weilai said that by optimizing the point cloud processing delay, the "Yang Yan" chip achieves a faster functional response, with a point cloud processing capacity of 8m point per second, and can receive both raw data and point cloud data at the same time, providing a better closed-loop iteration of data for the whole system.
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