How to get started How to start working with Main Street Autonomy System requirements System, sensor, and data requirements for working with Main Street Autonomy Capturing sensor data How to capture sensor data to work with Main Street Autonomy Data Portal How to use the Data Portal to upload sensor data and download results from Main Street Autonomy Glossary Definition of terms used by Main Street Autonomy FAQ Frequently asked questions about working with Main Street Autonomy

How it works How Calibration Anywhere performs automatic sensor calibration to deliver extrinsics, intrinsics, and time offsets for all sensors Calibration motion How to move your system while capturing data for Calibration Anywhere automatic sensor calibration Calibration results The extrinsic, intrinsic, and time offsets calibration outputs from Calibration Anywhere Calibration validation How to validate Calibration Anywhere results Deployment How to deploy Calibration Anywhere automatic sensor calibration software Targetless calibration How targetless calibration works Extrinsics and intrinsics Extrinsic and intrinsic sensor calibration explained Time offset calibration Time offset calibration explained FAQ Frequently asked questions about Calibration Anywhere automatic sensor calibration

How it works How Pose Engine generates 6DoF pose and odometry from sensor data, offline and online Pose Engine output The pose trajectory and odometry outputs from Pose Engine, offline and online Deployment How to deploy Pose Engine as a remote service, on-prem Docker container, or online library Mapping and localization How Pose Engine builds maps and localizes robots within them Coordinate frames The coordinate frames used in Pose Engine offline and online outputs Bootstrapping How Pose Engine determines the robot's initial pose when starting a new online localization session FAQ Frequently asked questions about Pose Engine perception-based localization

What lidar does What lidar measures and how distance and bearing combine into 3D point clouds Measuring distance How lidar measures distance — pulsed time-of-flight, amplitude modulated, FMCW, and parallax ranging Discerning bearing How lidar determines the direction of returns — arrays, scanning, and beam steering methods Choice of wavelength and eye safety Near-IR vs 1550 nm lidar wavelengths, eye safety regulations, and their practical implications Laser sources The three common laser types used in automotive lidar — VCSELs, edge-emitting diodes, and fiber lasers Common lidar problems Beam angle calibration, range offsets, blooming, intensity-dependent bias, encoder hysteresis, and multi-lidar alignment FAQ Frequently asked questions about lidar — terminology, solid state, and common misconceptions