US20250091603
2025-03-20
Performing operations; transporting
B60W60/001
A voice-controlled autonomous driving system is designed to determine a vehicle's trajectory based on voice commands from its occupants. The system includes controllers that interpret voice commands into text-based instructions using speech recognition algorithms. These instructions are then classified into predefined driving maneuvers using machine learning techniques. The system distinguishes between route-based and behavior-based maneuvers, adapting the vehicle's route or behavior accordingly.
When a voice command is classified as a route-based maneuver, the system identifies relevant lane segments from map data that are affected by this maneuver. It updates the vehicle's current route plan to include these segments, ensuring the vehicle follows an optimal path. This process allows the vehicle to adjust its trajectory seamlessly based on real-time voice inputs.
If a voice command is categorized as a behavior-based maneuver, the system evaluates it against behavior planner parameters. It updates these parameters to reflect the intended behavior change, such as adjusting speed or lane position without altering the overall route. This ensures that the vehicle's behavior aligns with the occupant's preferences while maintaining safety and compliance with traffic rules.
The system assigns a confidence score to each classified maneuver, reflecting the reliability of the command interpretation. If this score is below a threshold, the system prompts the occupant for clarification via a human-machine interface (HMI). When conflicts arise between new commands and existing active commands, the system requests occupant input to resolve these conflicts, ensuring smooth operation and adherence to user intent.
The system integrates with vehicle components such as microphones to capture voice commands and HMIs for user interaction. It also incorporates traffic rule analysis to ensure maneuvers comply with local regulations. By leveraging advanced algorithms and real-time data processing, this system enhances autonomous vehicle functionality, offering a more intuitive and responsive driving experience.