Autonomous driving/ HD map


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More safety, more reliability, and more scalability

  • Provides a critical element of autonomous driving; accurate location, supported by available GNSS data but still effective in GNSS denied environments.
  • Works in parallel with existing software with a “software fusion” approach to enable greater safety and reliability.
  • State-of-the-art relocalization using “GN-net” massively expands autonomous driving capability in tough situations (e.g. bad weather, summer vs winter season).
  • Brings more robustness to HD maps by integrating maps created by Kudan / Artisense SLAM.

Benefits of Kudan software

  • More accurate location and robustness from tightly-coupled Visual-Lidar SLAM.
  • Significantly lighter Lidar map (original raw data can be reduced by more than 300x).
  • Ultra-low-latency localization using IMU fusion (data rate can be greater than 1000Hz).
  • And many more features!

Example projects

  • localization software for autonomous vehicles, robo taxis.
  • Autonomous vehicle parking solution.
  • Kudan software and sensors packaged as a single SLAM sensor module.
  • Lidar calibration tool leveraging SLAM.
  • Integrate map layers created by KudanSLAM into existing HD map layers.

Relevant Demo

  • Artisense, a Kudan group company, demonstrating its lane-level accurate positioning in a multi-floor parking lot and urban environment

  • Lane Level AR Navigation Demo by NNG, HERE & Artisense


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