Volkswagen partners with Porsche, Voxel51, Microsoft and Nvidia on AI data platform for autonomous vehicles
Volkswagen building AI data platform to accelerate autonomous vehicle development
Volkswagen announced a shared AI data platform at Nvidia GTC Berlin to accelerate autonomous vehicle development through simulation and training. Partnering with Porsche, Voxel51, Microsoft and Nvidia, the initiative aims to reduce physical test drives by up to 90 percent and shorten AI regression testing cycles by up to 85 percent using a "data flywheel" approach.
Source: Robotics & Automation News · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
average drivers equivalent daily data generation
≈11,000
View original evidence
mous vehicle “data flywheel”, connecting information collected from vehicles on public roads with simulation, model training and software validation. Volkswagen says its connected fleet generates driving data equivalent to approximately 11,000 average drivers each day. Voxel51 provides the data management platform, using its FiftyOne technology to organize driving recordings, identify relevant scenarios and prepare d
Open source S4checks performed on recorded driving data
≈80
View original evidence
uild every layer of the stack yourself.” Reducing dependence on physical testing One of the first applications involves reconstructing real-world driving situations in virtual environments, allowing engineers to test software updates against repeatable scenarios. Voxel51 says its system performs approximately 80 checks on recorded driving data, covering sensor integrity, calibration, timing and other factors that cou
Open source S6
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
What remains unknown
Dataset licensing and commercial-use rights are not established here.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
ficiently. Porsche is leading the initial implementation, with support from Volkswagen’s software subsidiary Cariad and the technology partners. According to Voxel51, the collaboration could reduce repeated physical test drives by up to 90 percent and shorten AI regression testing cycles by up to 85 percent. Turning driving data into AI training material The project centers on what the companies describe as an autono
Open source S3
mous vehicle “data flywheel”, connecting information collected from vehicles on public roads with simulation, model training and software validation. Volkswagen says its connected fleet generates driving data equivalent to approximately 11,000 average drivers each day. Voxel51 provides the data management platform, using its FiftyOne technology to organize driving recordings, identify relevant scenarios and prepare d
Open source S4
uild every layer of the stack yourself.” Reducing dependence on physical testing One of the first applications involves reconstructing real-world driving situations in virtual environments, allowing engineers to test software updates against repeatable scenarios. Voxel51 says its system performs approximately 80 checks on recorded driving data, covering sensor integrity, calibration, timing and other factors that cou
Open source S6
Implications for data suppliers
RoboSignal interpretation and collection questions, not statements of buyer demand.
- Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
- Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
- Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.
Source：Robotics & Automation News · roboticsandautomationnews.com