Dynamic Map Sensor Control for Autonomous Vehicle Power Saving
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Solution Overview
Problem
The increasing complexity of sensing targets in autonomous traveling systems leads to inefficient acquisition of necessary information, resulting in excessive power consumption by mobile bodies.
Innovation Solution
An information processing system that utilizes a dynamic map managed by a cloud server to efficiently provide necessary information to mobile bodies, adjusting the operation of installed sensors based on detected events and changing sensor parameters to optimize power usage and information acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the mobile body acquires information on all surrounding objects using multiple sensors, then the completeness of environmental information is improved, but the power consumption increases
Solution Approach 1:
The system extracts and prioritizes only the necessary information from the complete environmental data. The priority determination unit identifies which objects and information are essential for the mobile body's current task, extracting only those elements for detailed processing while ignoring others, thus reducing power consumption while maintaining information completeness where needed
Solution Approach 2:
The system applies different processing qualities to different regions of the environment. High-priority objects receive detailed sensor processing and analysis, while low-priority objects receive minimal or no processing. This local differentiation of information quality allows the system to maintain necessary environmental awareness while significantly reducing overall power consumption
2Measurement precision
If the mobile body uses multiple sensors to detect various objects, then the accuracy of environmental perception is improved, but the device complexity increases
Solution Approach 1:
The system segments the environmental perception task into multiple priority levels. Different sensor types are assigned to detect different object categories based on priority. The processing pipeline is segmented into priority determination, selective detection, and differentiated analysis stages, allowing accurate perception of critical objects while simplifying the overall system architecture
Solution Approach 2:
The system employs sensors with multi-functional capabilities that can detect multiple types of objects and environmental conditions. A single sensor system is designed to perform various detection functions (object detection, distance measurement, environmental monitoring) depending on the detected priority level, reducing the total number of specialized sensors needed while maintaining perception accuracy
3Speed
If the mobile body processes all sensed information in real-time, then the responsiveness to environmental changes is improved, but the processing load increases
Solution Approach 1:
The system performs preliminary prioritization of environmental objects before full processing. The priority determination unit pre-identifies which objects require immediate attention based on their relevance to the mobile body's mission. This preliminary sorting allows the system to prepare for rapid response to high-priority events while avoiding unnecessary processing of low-priority data, reducing overall processing load while maintaining responsiveness
Solution Approach 2:
The system implements periodic processing at different priority levels. High-priority objects are processed continuously with high frequency to ensure immediate responsiveness. Low-priority objects are processed periodically at lower frequencies or only when changes exceed certain thresholds. This multi-rate periodic processing maintains system responsiveness to critical events while significantly reducing average processing load
Data Source
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AI summary
An information processing system includes a detector (131) configured to detect an occurrence of an event on the basis of a dynamic map (300) with three-dimensional geospatial information and additional information associated with each other, the additional information being used to be capable of supporting traveling of a mobile body, an environmental information acquisition unit (an installed apparatus 530) configured to acquire environmental information indicating a surrounding environment of a mobile body (500), and a setting unit (132) configured to set a parameter of an environmental information acquisition unit (the installed apparatus 530) depending on the detected event.