Auxiliary Controller Takeover for Autonomous Driving Fault Isolation
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Solution Overview
Problem
Existing autonomous driving systems lack complete isolation between main and auxiliary control modules, leading to incomplete control functions and increased risks of incontrollable situations during vehicle operation, which compromises safety and practicality.
Innovation Solution
The implementation of an autonomous driving method where an auxiliary controller acquires and monitors state information from a main controller, allowing it to take over control of the autonomous vehicle if the main controller operates abnormally, thereby ensuring complete control and reducing the risk of incontrollable situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle relies on a single main controller for control, then the device complexity is reduced, but the reliability deteriorates due to lack of backup control capability
Solution Approach 1:
The control system is segmented into a main controller and an auxiliary controller, each with distinct functions. The main controller handles normal autonomous driving control, while the auxiliary controller monitors system state and takes over in abnormal conditions. This segmentation provides redundancy and improves reliability without requiring a completely complex rearchitecture of the entire system.
Solution Approach 2:
The auxiliary controller performs preliminary monitoring of the main controller's operation state before any failure occurs. By continuously acquiring state monitoring information and evaluating controller health in advance, the system prepares for potential failures, enabling rapid takeover when needed and improving overall reliability.
2Reliability
If the auxiliary controller continuously monitors the main controller, then the reliability improves through early fault detection, but the use of energy increases due to continuous data acquisition and processing
Solution Approach 1:
The auxiliary controller implements a feedback mechanism by continuously acquiring state monitoring information from the main controller and evaluating its operation state. This feedback loop enables real-time fault detection while allowing the system to maintain low energy consumption during normal operation by only processing information when anomalies are detected or at scheduled intervals.
Solution Approach 2:
The monitoring system uses partial action by focusing computational resources on critical parameters and thresholds. Instead of continuously analyzing all possible data points, the auxiliary controller monitors key state indicators and only triggers full analysis when abnormal conditions are detected, reducing energy consumption while maintaining reliable fault detection.
3Reliability
If the auxiliary controller takes over control in abnormal situations, then the safety improves by preventing incontrollable situations, but the response time may be delayed due to the need for state evaluation and decision making
Solution Approach 1:
The auxiliary controller performs preliminary evaluation of the main controller's operation state continuously, maintaining an updated assessment of system health. This preliminary action ensures that when an abnormal condition is detected, the auxiliary controller can immediately initiate takeover procedures without delay, improving response time while maintaining safety.
Solution Approach 2:
The system implements preliminary anti-action by preparing the auxiliary controller to counteract potential failures before they manifest as uncontrollable situations. Through continuous monitoring and pre-configured takeover protocols, the auxiliary controller is ready to immediately counteract main controller failures, minimizing response time and preventing safety incidents.
Data Source
AI summary
The present application provides an autonomous driving method, an auxiliary controller, a main controller, an autonomous driving system, an electronic device and a computer-readable storage medium, and relates to the technical field of autonomous driving. The method is applied to an auxiliary controller and comprises: acquiring state monitoring information, the state monitoring information being information obtained by monitoring an operation state of a main controller; and in response to determining, according to the state monitoring information, that the main controller is operating abnormally, controlling an operation state of an autonomous vehicle.