Use Case #1:
Data Collection Optimization
Problem:
Road test teams typically have limited feedback on the quality of the data they collect for AI training and/or validation purposes. As a result, drivers collect a lot of useless data, and the shortcomings are usually discovered weeks/months after collection. This often necessitates recapture of data late in the program and causes delays and cost overruns.
Solution:
The Ottometric platform automatically screens each data collect and can provide daily/weekly feedback on data quality, conformance, and uniqueness while the driver is still in the region, enabling mid-course corrections that improve the value of the data.
Benefits:
• Providing timely feedback to the drive team so they can make mid-course corrections and avoid collecting bad or redundant data
• Improving the quality of the data for training and/or validation purposes
• Reducing drive time and cost and avoiding the need for recapture near the end of the program
