Context-Aware Vehicle Sensor Configuration for Lower Power Use
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Solution Overview
Problem
Autonomous vehicles face significant power and resource burdens due to the continuous operation of numerous sensors and processing of vast amounts of sensor data, leading to increased computational latencies and resource demands.
Innovation Solution
Dynamically selecting and implementing sensor configurations based on operational contexts, such as turning sensors on/off or adjusting their modes to reduce power and resource consumption while maintaining performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensors are continuously operated to ensure comprehensive data collection for autonomous navigation, then measurement precision and reliability are improved, but power consumption and resource demands increase significantly
Solution Approach 1:
The patent implements dynamic sensor configuration that adapts to different operational contexts. The system transitions from static full-sensor operation to dynamic selective activation, where sensor configurations are adjusted in real-time based on driving conditions, vehicle state, and environmental factors. This resolves the contradiction by maintaining reliability when needed while reducing power consumption during normal operation.
Solution Approach 2:
The system changes operational parameters of sensors based on contextual requirements. Instead of maintaining constant high-power operation, the patent modifies sensor activation states, data collection frequencies, and processing intensities according to operational context. This allows the system to maintain adequate measurement precision while significantly reducing overall power consumption.
2Measurement precision
If all sensors operate at full capacity to capture comprehensive environmental data, then measurement precision is improved, but computational latency increases due to processing vast amounts of data
Solution Approach 1:
The patent extracts and processes only the most relevant sensor data based on operational context. Instead of processing all sensor outputs at full capacity, the system selectively extracts critical information needed for current driving conditions. This reduces computational latency while maintaining measurement precision for essential parameters.
Solution Approach 2:
The system applies partial action by activating only the necessary subset of sensors and processing only relevant data streams. Rather than exhaustive full-capacity operation, the patent uses context-aware selective processing that achieves adequate measurement precision with reduced computational burden and lower latency.
3Use of energy by moving object
If sensor configurations are optimized for specific operational contexts, then power consumption is reduced, but adaptability to different driving conditions decreases
Solution Approach 1:
The patent implements a dynamic sensor configuration system that continuously adapts to different operational contexts. Rather than fixed optimization for a single context, the system transitions between multiple sensor configurations based on real-time conditions. This maintains high adaptability while achieving power reduction through context-appropriate sensor activation.
Solution Approach 2:
The system creates a universal sensor management framework that handles multiple operational contexts through a single adaptive mechanism. The sensor configuration system serves multiple functions: power management, context adaptation, and performance optimization. This multi-functionality ensures adaptability across diverse driving conditions while maintaining power efficiency.
Data Source
AI summary
Systems and techniques are provided for dynamically implementing vehicle sensor configurations based on operational contexts. An example method can include detecting, based on at least one of map data and sensor data from at least one sensor on a vehicle, one or more characteristics of an operational context of the vehicle; determining, based on the one or more characteristics of the operational context, a sensor configuration for the vehicle to implement when navigating the operational context, the sensor configuration comprising one or more sensors selected for use by the vehicle in the operational context and one or more different sensors set to an off state or a reduced operating mode while the vehicle is in the operational context; and dynamically implementing the sensor configuration at the vehicle when the vehicle is in the operational context.