Adaptive Vehicle Sensor Control for Bandwidth-Limited Perception
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Solution Overview
Problem
Autonomous vehicles face bandwidth issues due to the large amount of data generated by multiple high-end sensors, which can overwhelm data communication and processing systems, affecting precise detection of surroundings.
Innovation Solution
An adaptive sensor control system that adjusts sensor configuration parameters, such as resolution, frame rate, and position, based on driving conditions to optimize data output and processing, using a processor and sensor mounts with motorized movement to ensure consistent data capture and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple high-end sensors are used to collect data about the surrounding environment, then the detection precision and field of view are improved, but the data bandwidth and processing load increase significantly
Solution Approach 1:
The sensor configuration parameters are dynamically adjusted based on driving conditions. The processor determines the current driving condition and modifies sensor parameters in real-time, making the system adaptive rather than static. This allows the sensor system to optimize between detection precision and data bandwidth based on actual operational needs.
Solution Approach 2:
The patent changes sensor configuration parameters (such as resolution, frame rate, or other adjustable parameters) based on determined driving conditions. By modifying these parameters dynamically, the system reduces data bandwidth requirements while maintaining sufficient detection precision for the current driving scenario.
2Quantity of substance
If sensor configuration parameters are adjusted to reduce data output, then the bandwidth requirements are reduced, but the detection precision may be compromised
Solution Approach 1:
The system dynamically adjusts sensor parameters based on real-time driving conditions determined by the processor. This ensures that detection precision is maintained at appropriate levels for each specific driving scenario rather than using a fixed high-precision setting that would generate excessive data.
Solution Approach 2:
The processor modifies sensor configuration parameters based on the determined driving condition to optimize the balance between data output amount and detection precision. This selective parameter adjustment reduces bandwidth requirements while preserving sufficient precision for safe autonomous operation.
3Area of stationary object
If all sensors operate at maximum capacity continuously, then the field of view and data coverage are maximized, but the system energy consumption and processing load increase
Solution Approach 1:
Instead of continuous maximum-capacity operation, the system periodically adjusts sensor parameters based on changing driving conditions. The processor continuously monitors the environment and modifies sensor configuration as needed, allowing the system to maintain adequate field of view while reducing energy consumption during periods when maximum sensing capacity is not required.
Solution Approach 2:
The system changes sensor operating parameters based on driving conditions to optimize the balance between field of view coverage and energy consumption. This allows the sensors to operate at appropriate capacity levels rather than continuously at maximum, reducing overall system energy consumption while maintaining safety.
Data Source
AI summary
A method for controlling an autonomous vehicle includes collecting data about a surrounding of the autonomous vehicle, the data including global information of where the autonomous vehicle is positioned; deriving, at least in part based on the collected data, a perceived environment based on localizing the global information; determining a driving condition of the autonomous vehicle based on the perceived environment; modifying, according to the determined driving condition, a first configuration parameter of a sensor to adjust an amount of output data from the sensor; and simultaneously adjusting, according to the determined driving condition, a second configuration parameter for processing the output data to allow consistent data capturing and processing of the output data. A control system can employ such a method, and an autonomous vehicle can utilize such a control system.