Static obstacle detection

This invention helps a vehicle identify stationary objects in its path by repeatedly observing them in the same location over a short period, reducing false alarms. The claims specifically focus on detecting stationary lane markers using this method.

Why it matters: Filed before significant advancements in AI-powered computer vision and in-vehicle processing. Modern machine learning models can now more reliably detect and track objects, making the temporal consistency check more robust and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, sensor integration, real-time processing

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