Frontier on Commercial-grade
Localization & Mapping Software
- Exploit full potential beyond conventional sensor fusion
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- Deliver solutions for
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- Kudan's Artificial Perception technology fills a critical gap to harness the power of Artificial Intelligence. Kudan provides sensory functions to the brain of machines.
- Artificial Perception is an essential missing technology that opens significant opportunities in emerging markets such as autonomous driving, robotics, drones, AR/VR and smart cities.
- Kudan is the largest and most capable independent software player in this area.
Tightly couple all the possible sensors
beyond just "sensor fusion"
- KudanSLAM works with a wide range of sensors for localization and mapping such as monocular and stereo visual cameras, Light-detection-and-ranging (Lidar), Time-of-Flight (ToF) cameras, Inertial Measurement Units (IMU), and Global Navigation Satellite Systems (GNSS).
- Our software has commercial grade performance to unlock the full potential of your system and bring significant performance gains and cost reductions over alternatives.
- GrandSLAM has been built upon years of experience in SLAM and has unparalleled performance compared to other available simple "sensor fusion" systems by tightly-coupling multiple sensors.
Kudan Localization & Mapping Technologies
- Kudan's unique technology has a proven track record on a huge variety of localization and mapping client projects.
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05.09.2024
Press Release
Kudan technology will be featured in the exhibition of the Kawasaki Heavy Industries’ quadruped robot “Bex“ at IEEE ICRA 2024
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05.09.2024
Press Release
Avestec announces commercial launch of the SKYRON powered by Kudan’s 3D Lidar SLAM engine for digitization
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04.19.2024
Press Release
Kudan Inc. Announces Name Change of Artisense GmbH (a Kudan Company, Ungerer Strasse 175, Munich Germany) to Kudan Germany GmbH
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03.06.2024
Tech Blog
Kudan’s insight ~The Future Integration of Artificial Perception (SLAM) with Semiconductors~
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02.27.2024
Tech Blog
Understanding Covariance Quality in Robot Localisation