Use Cases/ Solutions

Kudan has already been demonstrating outstanding capability in important use cases.

Autonomous driving/ HD map

 

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

  • LIDAR SLAM vs. GPS

Industrial Robotics

 

More robustness and/or lower required HW cost

  • Robust localization and accurate mapping, even against dynamic environments with moving people and changing scenery.
  • Multiple functions to easily handle very large scale maps.

Benefits Kudan software brings

  • 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).
  • Large-scale and robot-model agnostic solutions.
  • Lower required sensor cost.
  • And many more features!

Example projects

  • localization software for indoor autonomous mobile robots in warehouses, retail stores, offices, power plants, and others.
  • Outdoor delivery robots development.
  • Kudan software and sensors packaged as a single SLAM sensor module.
  • Retrofitting existing machinery with Kudan software to enable autonomy.

Relevant Demo

  • Running indoors on Qualcomm Robotics RB5 with Intel Realsense

  • Localising with multiple vehicles in one map

  • LIDAR SLAM vs. GPS

Consumer Robotics

More robustness and accuracy on constrained devices

Benefits Kudan software brings

  • Flexible sensor setup (leveraging multiple types of cameras while fusing with other sensors)
  • Ability to run on low grade processor and small memory footprint (eg. Raspberry Pi 4)
  • Map and relocalize across multiple rooms or spaces
  • Fast, accurate and robust tracking even in dynamic environments
  • And many more features!

Example projects

  • Consumer vacuum cleaning robots
  • Home security, educational, service and companion robots
  • Micro drones

Relevant Demo

  • RGB-D SLAM

  • Performance against ORB-SLAM2

  • Live real-time SLAM on a smartphone

  • Map streaming to work with memory-constrained hardware

Drones/ UAV


Robust and accurate localization with cost effective sensor setup

  • KudanSLAM runs on lower grade CPUs, even without a GPU, but will accelerate with higher grade ones.
  • Accurate in GNSS-denied areas, but can take advantage of them when available.
  • Handles dynamic 3D scene-movement.

Benefits Kudan software brings

  • Save on hardware cost, leveraging affordable processors and sensors.
  • Wider effectiveness including underground environments and crowded downtown areas (e.g. Tokyo, Miami, New York).
  • Flexibility on sensor types and their combinations.
  • Higher productivity thanks to real-time processing capability.
  • And many more features!

Example projects

  • Mobile mapping systems and drones with lower grade INS/GNSS
  • Integrate Kudan software into an existing surveying solution.
  • Surveying conducted in urban metropolitan areas.

Relevant Demo

  • Running an indoor drone dataset on Qualcomm Robotics RB5 – 100% tracking

Inspection/ surveying/ mapping


Better mapping with affordable sensor setup and applicable to more situations

  • No need for an expensive GNSS/INS as the main localization approach.
  • Enables surveying players to go surpass current limitations at a much more affordable cost.

Benefits Kudan software brings

  • More accurate 3D reconstruction and maps.
  • Wider effectiveness including underground environments and crowded downtown areas (e.g. Tokyo, Miami, New York).
  • Lower required sensor cost.
  • Higher productivity thanks to real-time processing capability.
  • And many more features!

Example projects

  • Mobile mapping systems development for drones with lower grade INS/GNSS.
  • Integrate Kudan software into an existing surveying solution.
  • Surveying conducted in urban metropolitan areas.

Relevant Demo

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

  • LIDAR SLAM vs. GPS

AR / VR


Larger-scale, interactive and user-friendly AR/VR solutions

  • Greater capability than other SDKs; unlimited map scale, cross-platform compatibility, increased robustness and accuracy.

Benefit Kudan software brings

  • Larger scale map usage such as multi-story shopping malls, large plants, and even an entire city.
  • Robustness against scenery changes and dynamic objects.
  • Easier to keep maps up-to-date.
  • And many more features!

Example projects

  • AR glasses development for consumer head mount displays, medical industry clients, construction clients, and others.
  • AR navigation applications development for indoor facilities (stations, shopping malls).

Relevant Demo

  • RGB-D SLAM

  • Performance against ORB-SLAM2

  • Live real-time SLAM on a smartphone

Smart cities / IoT


Multiple users consume single cloud map created by Kudan software and update this map continuously

  • Enables a single map to serve multiple user devices and multiple use cases.
  • Maps locations can also be recognized and expanded by multiple types of device.

Benefit Kudan software brings

  • Larger scale map usage such as an entire city.
  • No need to create a map for each robot or use case, one map can be shared.

Example projects

  • AR cloud map to allow internal building localization and navigation overlays on a user’s device.
  • Integrating maps created by Kudan software into the new smart city development project.

5G


Showcase 5G’s low latency benefit with KudanSLAM

  • Empower applications such as AR/VR and autonomous driving with next generation SLAM technology.

Benefit Kudan software brings with 5G

  • Improved user experience in AR/VR with lower latency and increased robustness.
  • More safety in autonomous driving / vehicle communication scenarios.