Autonomous Driving Control Architecture for Dynamic Level Switching
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Solution Overview
Problem
Autonomous driving control systems face inefficiencies in hardware resource usage and increased costs due to the selective use of components based on changing control levels during autonomous driving, leading to suboptimal performance and unnecessary expenses.
Innovation Solution
An autonomous driving control apparatus that identifies the control level and selectively uses a combination of controllers, including sensor fusion devices and arbitration devices, to determine and execute appropriate control algorithms for obstacle avoidance, optimizing resource usage and reducing costs by adapting the control structure dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If components are selectively used based on autonomous driving control level, then adaptability is improved, but hardware resource efficiency deteriorates
Solution Approach 1:
The patent implements dynamic switching between different autonomous driving control algorithms based on the current control level. The system transitions from static component selection to dynamic algorithm selection, where the control algorithm is adjusted in real-time according to the autonomous driving control level, thereby improving hardware resource efficiency while maintaining adaptability.
Solution Approach 2:
The patent changes the parameter of control algorithm selection based on the autonomous driving control level. By modifying which algorithm is executed (first algorithm for higher levels, second algorithm for lower levels), the system optimizes hardware resource usage without sacrificing adaptability to different driving scenarios.
2Adaptability or versatility
If components are selectively used based on autonomous driving control level, then adaptability is improved, but manufacturing cost deteriorates
Solution Approach 1:
The patent makes the same hardware components serve multiple functions by executing different control algorithms depending on the autonomous driving control level. The sensor fusion device and arbitration device are universally used across different control levels, eliminating the need for additional hardware and reducing manufacturing costs while maintaining adaptability.
Solution Approach 2:
The system dynamically adjusts the control algorithm rather than requiring physical reconfiguration of hardware. This dynamic software-based approach reduces manufacturing complexity and cost compared to having dedicated hardware for each control level, while still providing adaptability to different autonomous driving scenarios.
3Productivity
If control algorithm is changed by applying autonomous driving parameters, then autonomous driving control performance is improved, but control system complexity deteriorates
Solution Approach 1:
The patent segments the control system into distinct modules: sensor fusion device for data processing, arbitration device for algorithm selection, and execution unit for control implementation. This segmentation manages complexity by organizing the system into functional blocks while maintaining high autonomous driving control performance through coordinated operation of these segments.
Solution Approach 2:
The arbitration device acts as an intermediary between the sensor fusion device and the control execution, selecting appropriate control algorithms based on autonomous driving parameters. This intermediary layer simplifies the overall system complexity by centralizing the decision-making logic for algorithm selection, rather than distributing complex decision logic across multiple components.
Data Source
AI summary
Disclosed is an autonomous driving control apparatus. The autonomous driving control apparatus includes a sensor device, a memory, and a control device. For example, the autonomous driving control apparatus identifies an autonomous driving control level of a host vehicle, identifies a first autonomous driving control method corresponding to at least one level higher than or equal to the specified level when the autonomous driving control level is higher than or equal to a specified level, identifies a surrounding object of the host vehicle by using the sensor device while the host vehicle is driving, and performs a first autonomous driving control corresponding to the surrounding object based on the first autonomous driving control method.