Adaptive Deceleration Control for Autonomous Driving Safety
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Solution Overview
Problem
Current autonomous driving control systems lack the ability to dynamically adjust deceleration based on the vehicle's state, road conditions, and adjacent vehicle behavior, leading to potential safety hazards due to conservative control methods that do not adequately consider vehicle type, driving situation, or road conditions.
Innovation Solution
An autonomous driving control apparatus that utilizes sensors to identify information about the host vehicle's state, road conditions, and adjacent vehicle behavior, activating parameter-variable control to adjust deceleration parameters based on predetermined conditions, including the behavior of other vehicles and road slopes, to ensure safer and more dynamic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform criterion is used to identify control amount for acceleration and deceleration, then user safety and riding comfort are ensured, but the control amount cannot be optimized for specific vehicle types and driving situations
Solution Approach 1:
The patent applies dynamics by transitioning from static uniform control criteria to dynamic adaptive control. The control apparatus now varies acceleration and deceleration parameters in real-time based on detected driving situations, vehicle types, and environmental conditions, allowing the system to optimize control amounts dynamically while maintaining safety standards.
Solution Approach 2:
The patent implements parameter changes by modifying control parameters (acceleration and deceleration values) based on multiple input variables including vehicle type, driving mode, road conditions, and surrounding environment. This allows the system to adjust control characteristics to match specific operating conditions rather than using fixed uniform criteria.
2Reliability
If conservative control method is used to ensure safety, then collision risk is reduced, but rapid deceleration capability is insufficient when dangerous situations occur
Solution Approach 1:
The patent applies partial or excessive action by implementing different control strategies for different situations. In normal conditions, conservative control is applied to reduce collision risk. In dangerous situations detected through sensor data, the system switches to aggressive deceleration control that exceeds normal parameters, enabling rapid response when needed while maintaining safety during routine operation.
Solution Approach 2:
The patent implements feedback by continuously monitoring driving situations, vehicle state, and environmental conditions through sensors. This real-time feedback allows the system to adjust control aggressiveness dynamically, maintaining conservative control when safe and enabling rapid deceleration when dangerous situations are detected, thus resolving the contradiction between safety and rapid response capability.
3Adaptability or versatility
If parameter-variable control is activated based on multiple conditions, then deceleration control is optimized for specific driving scenarios, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the control system into modular functional blocks that each handle specific aspects of parameter-variable control. The control apparatus is segmented into units that independently process different input variables (vehicle type, driving mode, road conditions) and combine their outputs to determine final control parameters, making the complex system more manageable and maintainable.
Solution Approach 2:
The patent implements universality by designing a control apparatus that can handle multiple driving scenarios and vehicle types through a single integrated system. Rather than creating separate control systems for different situations, the universal apparatus adapts its behavior based on input conditions, reducing overall system complexity while maintaining high adaptability across diverse operating scenarios.
Data Source
AI summary
An autonomous driving control apparatus may include a sensor device, a memory, and a control device. For example, the autonomous driving control apparatus identifies information related to at least one of a driving state of a host vehicle, a driving mode of the host vehicle, a driving road of the host vehicle, a behavior state of at least one other vehicle adjacent to the host vehicle, or a combination of the driving state, the driving mode, the driving road, and the behavior state by use of the sensor device, activates at least one parameter-variable control for deceleration control of the host vehicle by use of the information, and is configured to control a deceleration of the host vehicle by use of a minimum value among at least one parameter identified based on the at least one parameter-variable control thus activated.