Autonomous driving/ HD map
Autonomous driving: 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
- Enable scalability by server-based SLAM and smart map update functions for country-size large-scale deployments
- 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
The 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)
- Capable to move SLAM on cloud so that offload processing from each vehicle
- Update map automatically depending on scenery changes
- And many more features!
Example projects
- localization software for autonomous vehicles, robo taxis
- Autonomous vehicle parking solution
- HD map creating tool using Kudan SLAM
- Kudan software and sensors packaged as a single SLAM sensor module
- Integrate map layers created by KudanSLAM into existing HD map layers
Demonstrating Autonomous driving/HD mapping
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Artisense, a Kudan group company, demonstrates its lane-level accurate positioning in a multi-floor parking lot and urban environment
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Lane Level AR Navigation Demo by NNG, HERE & Artisense
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LIDAR SLAM vs. GPS
