Determining speeds along a path for autonomous driving vehicles

This invention outlines a software method for an autonomous vehicle to determine its speed along a planned route. It operates by generating a graph showing distance over time, then applying specific rules, called "kernels," and conditions, or "constraints," to this graph. For example, one rule might aim to increase the vehicle's speed, while another could incorporate previously recorded speed data. The system then calculates optimal speeds for different sections of the path based on these applied rules and conditions.

Why it matters: Since 2018, advancements in AI and machine learning for autonomous driving, alongside increased in-vehicle computational power, have matured significantly. This allows for more sophisticated and adaptive implementations of the described speed-determining kernels and constraints, potentially integrating them into advanced predictive control or reinforcement learning systems.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, autonomous vehicle integration

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