Question: Can you recommend a solution that allows me to track performance metrics for my autonomous industrial vehicles in real-time?

If you want to monitor performance metrics for your self-driving industrial vehicles in real time, Polymath Robotics has a more complete package. Its platform handles autonomous navigation, path planning, obstacle avoidance and performance monitoring. It's vehicle-agnostic and can be extended with other sensors and software with an API. The platform has a safety mechanism that can shut down the vehicle and has a real-time performance monitoring interface, so it's a good foundation for industrial autonomy projects.

Another option is Geotab, a company that's best known for its GPS fleet tracking and management system. Geotab uses AI and data intelligence to provide insights and recommendations on fleet operations, including productivity, fleet safety, optimization and sustainability. It can integrate with third-party hardware and software, so it's adaptable to fleets large or small. That could be useful for optimizing your autonomous industrial vehicle performance.

SingleStore is another real-time data platform that can handle petabyte-scale data sets with millisecond query performance. It combines transactional and analytical data in a single engine, supporting different data models like JSON, time-series and geospatial. That's good for real-time analytics, and you could use it to get detailed performance metrics for your self-driving vehicles.

If you're looking for a more complete package, check out Bytebeam. This full-stack connected vehicle management platform handles fleet management, vehicle health monitoring, predictive maintenance and other tasks. It offers real-time data analytics and visualization, remote diagnostics and over-the-air updates. Bytebeam's advanced telematics hardware and powerful data analytics abilities make it a good option for optimizing your autonomous industrial vehicle performance.