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• Motional uses a continuous learning framework to mine on-road driving data and discover rare scenarios or areas where there are challenges or issues with their performance.
• They up sample and incorporate more of these scenarios into their training data to improve their autonomy performance.
• Motional recognizes the need for richer development of data sets and sharing of those data sets to fuel the development across the industry.
• They have pioneered a data sharing culture that has now extended across the industry.
• Motional's approach involves not just increasing the volume of data, but getting the right data, including finding rare objects and identifying challenging scenarios.
• Their focus is on improving their autonomy performance to achieve true driverless capability.