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AssigneeNVIDIA Corporation
InventorsJay Patrikar, Apoorva Sharma, Sushant Veer, Yulong Cao, Wenhao Ding, Karen Leung, Rachel Luo, Boyi Li, Marco Pavone
Estimating the term…
An autonomous vehicle (AV) can utilize quantitative data, such as data received from sensors with known intrinsic parameters (e.g., positive data) to determine a second subsequent action from a set of possible actions, using inputs such as an original subsequent action. To improve the decision-making process of the second subsequent action, the AV can utilize qualitative data, such as data received from a data storage system (e.g., negative data). Qualitative data can be text or image based, such as from a crash report or sensor data missing sufficient intrinsic parameters to make a quantitative evaluation. By weighting the quantitative data against the qualitative data, the decision-making process of the AV towards its high-level goal (such as moving toward a parking lot) can be more efficient, such as ensuring lower levels goals are met. The decision process can utilize multi-modal large language models and latent space models to weight data appropriately.
A method, comprising:
A system, comprising:
A non-transitory computer program product having a series of operating instructions stored on a non-transitory computer-readable medium that directs an ego autonomous vehicle (AV) process when executed thereby to perform operations, the operations comprising:
Dependencies are inferred from the claim text.