What this patent covers

US Patent 12,001,207, issued June 4, 2024, describes an autonomous vehicle control system that uses deep learning and camera-based navigation with a built-in safety assessment layer. If your system navigates using cameras, runs confidence checks, or hands off to a remote operator when confidence drops, this patent is relevant to you.

In short: Deep learning control + camera-based navigation + safety confidence scoring + remote operator handoff. This is the architecture most camera-first AV companies are building toward.

Coverage areas

  • Camera-based guidance systems for autonomous vehicles
  • Commercial and consumer drone navigation
  • Machine learning navigation algorithms
  • Confidence-based safety assessment with operator handoff

Timing matters

Tesla's unsupervised FSD rollout and the broader shift toward end-to-end neural networks have accelerated the camera-first AV space. Regulators are paying closer attention to safety systems, and patent filings in this area are increasing. Licensing now, before the space gets more crowded, gives you a cleaner position.

A few things happening in the market right now:

  • Tesla is scaling unsupervised FSD, and competitors need differentiated IP
  • End-to-end neural network navigation is replacing modular pipelines
  • NHTSA and international regulators are tightening autonomous safety requirements
  • Camera-based perception is overtaking lidar in cost-sensitive applications

Patent details

  • Issue date: June 4, 2024
  • Technology: Camera-based navigation with safety assessment
  • Applications: Autonomous vehicles, drones, AI navigation
  • Patent number: US 12,001,207

View full patent on Google Patents

Licensing

This patent is available for licensing. If you're building camera-based autonomous navigation, whether for vehicles, drones, or other platforms, get in touch to discuss terms.

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