Internal safety systems for robotic vehicles

This invention describes a system for autonomous vehicles that uses sensor data to detect potential collision threats, like other cars or pedestrians, and then calculates the vehicle's path. Based on this, it activates internal safety features to protect passengers. For example, it might tighten seatbelts or warn occupants just before a predicted crash or a sudden evasive maneuver.

Why it matters: Filed before advanced AI for real-time predictive modeling in autonomous vehicles was mature. Modern AI and sensor fusion capabilities can now more accurately and rapidly predict collision threats and evasive maneuvers, making the activation of internal safety systems more effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software, sensor fusion, vehicle actuators

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