Code example or demo
KDN-3P-SLAM
Overview
Kudan is a global deep technology company developing commercial artificial perception algorithms based on simultaneous localization and mapping (SLAM) since its founding in 2011. Kudan’s technology currently enables solutions for its partners in automotive, robotics, drone/UAV, mapping and surveying and XR (augmented reality/virtual reality).
In collaboration with Texas Instruments, Kudan delivers unparalleled visual SLAM performance on the Jacinto™ 7 processors for a broad range of applications, including robotics and autonomous vehicles.
Visual SLAM can achieve typically required accuracy in automotive and robotics with efficient use of memory and computing resources for mission critical real-time applications. Utilizing the camera as the primary sensor, the software creates a point cloud map of the environment, and accurately tracks the position and pose of a device.
Using the camera as the primary sensor, Kudan’s visual SLAM create a point cloud map of the environment, and accurately track the position and pose of a device.
Features
- Achieves typically required accuracy in automotive and robotics with efficient use of memory and computing resources for mission critical real-time applications
- Supports a wide range of sensor configurations
- Stereo camera
- Mono camera
- RGB-D camera
- Ability to integrate additional sensors
- Multiple cameras
- Inertial measurement unit (IMU)
- GNSS/GPS
- Wheel odometry
- Support for robot operating system (ROS) with a Kudan’s ROS node, and as well as custom systems via API library
Downloads
Supported products & hardware
Arm-based processors
Support & training
TI does not offer ongoing direct design support for this software. For support while working through your design, contact Kudan Inc..
Video series
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