Open-Source Autonomous Vehicle Visualization from Uber

The company made an open source contribution to the AV dev tool ecosystem: Autonomous Visualization System (AVS).

Huge news from Uber. The company made an open source contribution to the AV dev tool ecosystem: Autonomous Visualization System (AVS) which is a standalone web-based technology described as “a new way” to understand and share autonomous systems data. Please note that it’s the same suite used by Advanced Technologies Group (ATG).

“With AVS abstracting visualization, developers can focus on core autonomy capabilities for drive systems, remote assistance, mapping, and simulation,” Uber states. “AVS frees developers from having to build custom visualization software for their autonomous vehicles.”

The system is based on modularity which is a guiding principle. AVS is said to comprise two core pillars: XVIZ, a specification that provides, manages, and describes generated autonomous systems data, and streetscape.gl, a toolkit for building web apps that take in data in the XVIZ protocol.

Uber wants to update AVS with more data sources and specifications, performance optimizations, and richer features in the future.

“We created AVS to meet the needs of everyone in the autonomy ecosystem, including engineers, vehicle operators, analysts, and specialist developers. Autonomous engineers can describe their systems with XVIZ easily and then test and visualize their expectations with limited overhead,” Uber states. “Specialist developers can quickly build data source-agnostic applications with strong performance characteristics and simplified integration using streetscape.gl. Lastly, operators can view the data in standard visual formats, including videos, across multiple applications, leading to easier collaboration, knowledge understanding, deeper analysis, and overall trust in the data quality.”

You can get more details here.

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