Calibration Guide Overview
General guidelines for all calibration types

MetriCal delivers accurate, precise, and expedient calibration results for multimodal sensor suites. Its easy-to-use interface and detailed metrics enable enterprise-level autonomy at scale.
Anyone can download MetriCal, license not required. Unlicensed users have near-complete use of the software, from processing to metrics generation. The only limitation is the calibration results, which require a license to view and save.
To get started, check out the installation instructions.
Sensor calibration is the process of determining the parameters that define how a sensor captures data from the world. This includes:
Good calibration ensures that:
MetriCal provides a comprehensive solution for calibrating various sensor configurations. Unlike many calibration tools that focus on single sensors or specific combinations, MetriCal offers:
...and so much more!
Whether you're building a simple computer vision system or a complex autonomous vehicle perception stack, these guides will help you achieve accurate calibration with MetriCal.
Good sensor calibration is key to building accurate perception systems. MetriCal helps you calibrate many types of sensors—from a single camera to complex multi-sensor setups, including local navigation systems. Our guides take you through each step of the process, from collecting data to checking your results. We cover single cameras, multiple cameras, camera-LiDAR combinations, and indoor positioning systems with clear instructions and practical tips. Choose the guide below that matches your setup to get started.
You can now purchase calibration targets directly from our online store. This store holds all the targets necessary to run through our calibration guides. If you are a company or facility that needs a more sophisticated target setup for automation or production line purposes, contact us at info@tangramvision.com.
For more information about supported targets and recommendations, see our Calibration Targets overview.
Point ChatGPT/Claude/Gemini/etc at our llms.txt or llms-full.txt files to give the LLM an easy way to ingest MetriCal documentation in markdown format. You can then ask the LLM to find information in the docs, explain concepts and tradeoffs, assist with configuration and troubleshooting, and so on.
We only provide llms.txt content and associated markdown files for the latest stable version of
MetriCal! If you need support for older versions of MetriCal or if you'd like to see more support
for LLMs, please contact us.