Multi-Layer Autonomous Vehicle Control for Redundant Sensor Decisions

The patent divides the autonomous vehicle control system into multiple independent layers (first layer with first sensor system and first data box, second layer with second sensor system and second data box, etc.). Each layer can independently process sensor data and generate vehicle control decisions. This segmentation eliminates single-point failures because if one layer fails, other layers can continue operating, thereby improving reliability without requiring a complete system overhaul.

Each layer in the multi-layer system has specialized algorithms and processing capabilities tailored to its specific function. The first data box uses a first algorithm to process first sensor data, while the second data box uses a second algorithm to process second sensor data. This local specialization allows each component to be optimized for its specific task, improving overall system reliability while maintaining manageable complexity through functional differentiation.

The patent structures the control system as independent, modular layers where each layer (sensor system + data box) can be individually upgraded. The first sensor system and first data box are independent from the second sensor system and second data box. This modular segmentation allows sensor upgrades to be performed on specific layers without affecting other layers, eliminating the need for complete system overhauls and improving adaptability.

The multi-layer architecture creates a universal system framework where different sensor types and algorithms can be integrated across multiple layers. Each layer can use different algorithms (first algorithm, second algorithm, etc.) to process data from different sensors, allowing the system to accommodate various sensor upgrades and technology iterations without requiring fundamental changes to the overall system architecture.

The patent divides the processing workload into multiple independent layers, where each data box (first data box, second data box, etc.) processes sensor data independently using its own algorithm. This segmentation distributes the computational load across multiple processors rather than concentrating it in a single high-power processor, thereby reducing overall processing power consumption while maintaining vehicle control safety through redundant processing paths.

Each layer in the multi-layer system performs partial processing of sensor data independently, generating intermediate vehicle control decisions that are then integrated. The first data box processes first sensor data to generate a first vehicle control decision, while the second data box processes second sensor data to generate a second vehicle control decision. This partial processing approach reduces the computational burden on any single processor compared to having one system process all sensor data comprehensively, thereby reducing power consumption while maintaining safety through multiple processing paths.