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Jusikhoesa Jeuseuraepseu

oks359359 · 2026-08-04 · Source naver

Jusikhoesa Jeuseuraepseu is a company that achieves precise positioning by fusing CAN data and IMU with AI in environments where GPS signals are weak.

See the full business overview →CAN데이터 주식회사 제우스랩스, GPS 흔들려도 정밀측위가 잡히는 순간
Sourceoks359359 · blog.naver.com/oks359359
Published2026-08-04
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Key information

technologyA method of precisely determining location by fusing and analyzing CAN data and IMU with AI algorithms
target environmentUrban areas, indoors, underground parking lots, and tunnels with weak GPS signals
sensor configurationUtilizes standard vehicle data without expensive sensors such as LiDAR or radar
major servicesParking location guidance, parking space availability guidance, lane-level navigation, vehicle location tracking, and driving safety services
map constructionAI recognizes building floor plans and converts them into maps for navigation, and applies behavior-oriented labeling to improve the efficiency of precise map building

Frequently asked questions

Q. What technology does Jusikhoesa Jeuseuraepseu use?

Jusikhoesa Jeuseuraepseu uses a technology that fuses and analyzes CAN data and IMU from vehicles with AI algorithms to precisely determine location.

Q. In what environments can Jusikhoesa Jeuseuraepseu achieve precise positioning?

Jusikhoesa Jeuseuraepseu provides stable location information in environments with weak GPS signals such as urban areas, indoors, underground parking lots, and tunnels by using CAN data and IMU together.

Q. What services does Jusikhoesa Jeuseuraepseu provide?

Jusikhoesa Jeuseuraepseu analyzes real-time driving information to support smart mobility functions such as parking location guidance, parking space availability guidance, lane-level navigation, vehicle location tracking, and driving safety services as a platform.

Q. How does Jusikhoesa Jeuseuraepseu build maps?

Jusikhoesa Jeuseuraepseu uses AI to recognize building floor plans and convert them into maps for navigation, and applies behavior-oriented labeling to increase the efficiency of precise map building.

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