Software Tools
Maximum Flexibility, Ease of Use, and Simple Integration
MicroVision's tools support developers to easily integrate the data streams provided by our lidar sensors into any system.
Explore now.
MicroVision’s laser view
Cross-platform software that provides visualization capabilities for MicroVision lidar products.
MicroVision’s
SDK
The open-source SDK allows developers to build cross-platform using Python or C++.
MicroVision's
ROS-DRIVER
Designed for a seamless integration of MOVIA™ sensors into ROS networks.
Microvision Laser View
MicroVision's Laser View (MLV2) is a versatile and powerful software tool designed for the visualization and analysis of lidar data, tailored for automotive and industrial applications. It offers a range of features to enhance the understanding and interpretation of lidar data.
Key features:
- Comprehensive data visualization of lidar data and perception software outputs.
- Live connection to all MicroVision lidar sensors for real-time data visualization.
- Supporting proprietary IDC format, as well as industry-standard formats like OpenDRIVE®.
- Platform Compatibility (Windows, Linux) ensures seamless integration into existing workflows.
- Enables calibration of sensor mounting pose.
- Great flexibility of data visualization allowing users to customize their views to suit specific needs.
Microvision SDK
For C++ and Python
The MVIS SDK enables easy integration of MicroVision's lidar sensors into your system and is available for C++ and Python.
It supports live connections for real-time data acquisition and handles the IDC file format for recording and replaying sensor data.
The SDK can be used on Windows or Linux, and its open-source nature allows compilation for any platform.
ROS Integration for MOVIA™ Sensors
The user-friendly MicroVision ROS-Driver is designed for a seamless integration of MOVIA™ sensors into ROS-based applications. Enabling live operation and data recording, making it an essential tool for researchers, engineers, and developers working with lidar data in ROS environments.
Key features:
- Sensor Integration: supporting MOVIA™ sensors, ensuring reliable and efficient data acquisition.
- Data Compatibility: publishing data in standardized ROS point cloud and image data types to ensure seamless integration.
- Simple Setup and Usage: designed for ease of use with pre-compiled dependencies.
- Wide support for different ROS distributions: compatible with both ROS 1 and ROS 2 on Linux for providing users with the flexibility to compile and customize the driver for their specific ROS distribution and requirements.
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