Intelligent Roadside Unit Dual Processor Reliability
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Solution Overview
Problem
Intelligent roadside units face reliability issues due to high temperature and heavy processing burdens, which can lead to malfunctions and security risks in autonomous driving navigation.
Innovation Solution
The implementation of a dual-processor system, comprising a master processor and a slave processor, where the slave processor generates point cloud images from radar and camera data and switches in if the master processor fails, along with the use of multiple radars and cameras for enhanced sensing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If various sensing detectors are disposed on the intelligent roadside unit to improve sensing capability, then the sensing capability is improved, but the processing burden and temperature increase causing reliability to decrease
Solution Approach 1:
The processing system is segmented into multiple independent processors (first processor, second processor, third processor) that can independently handle data from different sensing detectors. This segmentation distributes the processing burden across multiple units, preventing any single processor from becoming overloaded and generating excessive heat, thereby maintaining reliability while preserving enhanced sensing capability.
Solution Approach 2:
The patent implements a backup processor mechanism where the second processor serves as a standby unit that can take over processing tasks when the first processor fails or becomes overloaded. This beforehand cushioning ensures that the system maintains processing capability even under high temperature or high-load conditions, preventing complete system failure and maintaining reliability.
2Device complexity
If a single processor handles all data processing tasks, then the device complexity is low, but the reliability decreases due to high temperature and heavy processing burden
Solution Approach 1:
The processing function is divided among multiple processors with specialized roles: the first processor handles primary data processing, the second processor serves as a hot standby for immediate failover, and the third processor provides additional processing capacity. This segmentation increases hardware complexity but significantly improves reliability by distributing thermal load and providing redundancy against processor failure.
Solution Approach 2:
The system dynamically changes operational parameters by switching between different processor configurations based on workload and temperature conditions. When the first processor operates within safe parameters, it handles all processing. When temperature or load exceeds thresholds, the system transitions to involving the second and third processors, changing the operational state to maintain reliability.
Data Source
AI summary
The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.