Adaptive Vehicle Sensor and AI Processing Power Control

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Solution Overview

Problem

Modern vehicles, including autonomous vehicles, consume excessive power when all sensing and processing devices operate at full performance levels, reducing efficiency and battery life, especially in scenarios where full performance is not required.

Innovation Solution

An electronic control unit adjusts the operation of sensing and processing devices based on the vehicle's context of operation, such as reducing power consumption by deactivating or operating them at lower performance when fewer objects are detected, using an artificial neural network to evaluate sensor data and control device performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If all sensing and processing devices operate at full performance levels, then detection precision and processing capability are improved, but power consumption increases

Engineering Contradiction:
Improvedetection precisionVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic adjustment of sensing and processing device performance based on real-time driving context evaluation. The system transitions from static full-performance operation to dynamic adaptive operation, adjusting device capabilities according to actual needs such as driving environment complexity, weather conditions, and traffic density, thereby resolving the contradiction between maintaining high detection precision and reducing power consumption.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters of sensing and processing devices based on evaluated context. When full performance is not required (e.g., clear weather, open roads), the system reduces processing power, frame rates, or sensor activation levels, directly adjusting parameters to balance detection precision with power consumption efficiency.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If all sensing and processing devices operate at full performance levels, then processing capability is improved, but vehicle efficiency deteriorates

Engineering Contradiction:
Improveprocessing capabilityVSAvoidvehicle efficiency
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system applies partial action by activating or operating sensing and processing devices at reduced capacity when full performance is not necessary. Based on context evaluation (e.g., simple driving environments, good weather), the system uses only the necessary portion of processing capability, avoiding excessive power consumption and improving overall vehicle efficiency while maintaining adequate safety monitoring.

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If devices operate at full performance continuously, then reliability is maintained, but battery life is reduced

Engineering Contradiction:
Improvesystem reliabilityVSAvoidbattery life
Core Design Contradiction:
ReliabilityVSDuration of action of moving object

Solution Approach 1:

The system implements periodic evaluation of driving context and adjusts device performance accordingly. Rather than continuous full-performance operation, the system periodically assesses whether full capabilities are needed and switches between high-performance and energy-saving modes, maintaining reliability when necessary while extending battery life through intermittent high-power operation.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS11845470B2Dynamic adaptation of automotive AI processing power and active sensor data
Publication Date: 2023.12.19 MICRON TECHNOLOGY INC
  • US11845470B2 patent drawing
  • US11845470B2 patent drawing
  • US11845470B2 patent drawing

AI summary

Systems, methods, and apparatus related to dynamically adjusting sensing and/or processing resources of a vehicle. In one approach, sensor data is collected by sensing devices of the vehicle. A controller of the vehicle uses the sensor data to control one or more functions of the vehicle. The controller evaluates the sensor data to determine a context of operation (e.g., weather, lighting, and/or traffic) for the vehicle. Based on the context of operation, the controller adjusts the operation of one or more of the sensing or processing devices in real-time during operation of the vehicle. In one example, the adjustment reduces power consumption by the vehicle.