Features of KudanSLAM Service

Currently, autonomous driving robots generally recognize the world in two dimensions using 2D lidar. However, the amount of information was limited, and the area in which it could be operated was limited.
KudanSLAM provides SLAM that recognizes the world in three dimensions using cameras and 3D lidar. This enables seamless movement indoors and outdoors, and enables operation in environments with large environmental changes, enabling a wide range of applications.

There is a separate column for general SLAM technology explanations, so please refer to that as well.

KdVisual

We can provide products compatible with each SLAM format based on the distance from the point extracted from the camera image. It is compatible with various cameras, stereo cameras, depth sensors, and has low processing hurdles for product implementation. Compared to other SLAM algorithms, it achieves a significant reduction in processing time, high accuracy, and high robustness, even in situations where the environment changes moment by moment.

KdLidar

It is a unique LiDARSLAM that overcomes the problems of accuracy and data processing volume that have been problems with self-localization and environmental map creation and operation using LiDAR so far. In addition to the commonly used rotating type LiDAR, we also support solid-state types, which can be applied to a wide range of customer environments. In addition, since it is possible to obtain a highly accurate 3D point cloud map with simple hardware, it is also used for digital twin solutions.

Highest performance and freedom of sensor configuration

KudanSLAM can be integrated with a wide range of sensor data, such as ToF, IMU, GNSS, wheel odometry, in addition to cameras and LiDAR. For example, integration with an IMU sensor enables self-position estimation without being confused by moving objects, and combined use with GNSS eliminates cumulative errors in wide-area outdoors.
Kudan's advanced sensor fusion technology ensures high accuracy and environmental robustness in various environments, and supports a wide range of use cases from construction machinery to indoor robots.

Prepare an easy-to-use evaluation package for each site

SLAM implementation in the customer environment requires fine adjustments such as calibration and sensor placement. Kudan is preparing a simple evaluation package for purchase so that customers can easily feel the appeal of KudanSLAM.

Initial evaluation package

Mapping Dev Kit