Vehicle Driver Assistance System Emergency Steering Control
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Solution Overview
Problem
Conventional advanced driver assistance systems (ADAS) designed for forward collision avoidance primarily rely on emergency braking, which is inefficient in avoiding collisions with preceding objects, especially when side objects are present, leading to difficulties in effectively changing the vehicle's trajectory to avoid collisions.
Innovation Solution
A driver assistance system equipped with a combination of forward-view and side-view sensors, including image sensors, radar, and LiDAR, that process data to detect preceding and side objects, predict collision possibilities, and output steering signals to change the vehicle's direction or brake to avoid collisions, allowing for efficient collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emergency braking is used for forward collision avoidance, then collision with preceding object can be avoided, but collision avoidance efficiency deteriorates when side objects are present
Solution Approach 1:
The system dynamically switches between emergency braking and emergency steering based on real-time detection of preceding objects and side objects. When side objects are absent, the system applies emergency steering for more efficient collision avoidance. When side objects are present, the system applies emergency braking. This dynamic adaptation resolves the contradiction by making the collision avoidance system versatile across different traffic conditions while maintaining high effectiveness.
Solution Approach 2:
The system changes the control parameter from braking force to steering angle based on the presence or absence of side objects. By detecting side objects and adjusting the avoidance strategy parameter, the system achieves both high collision avoidance effectiveness and adaptability to different traffic scenarios.
2Device complexity
If only emergency braking is implemented, then system complexity is reduced, but collision avoidance efficiency deteriorates in dense traffic
Solution Approach 1:
The system segments the collision avoidance function into two distinct strategies: emergency braking for situations with side objects present, and emergency steering for situations with no side objects. This segmentation allows the system to achieve high collision avoidance efficiency in dense traffic by selecting the appropriate strategy, while the complexity is managed through clear conditional logic based on sensor detection.
3Productivity
If emergency steering is added to the system, then collision avoidance efficiency is improved, but device complexity increases
Solution Approach 1:
The system implements dynamic control by switching between braking and steering based on real-time sensor data. The corner sensors detect side objects, and the controller dynamically selects the appropriate avoidance strategy. This dynamic approach improves collision avoidance efficiency while managing complexity through condition-based control logic rather than permanently complex hardware.
Solution Approach 2:
Corner sensors act as intermediaries that detect side objects and provide information to the controller. This intermediary detection mechanism enables the system to intelligently switch between braking and steering strategies, improving collision avoidance efficiency while keeping the overall system complexity manageable through modular sensor integration.
Data Source
AI summary
A driver assistance system (DAS) for a vehicle avoids collision between a vehicle and a preceding object using emergency steering of the vehicle. The DAS includes forward-view sensors and a corner sensor mounted to a vehicle. A controller is provided with a processor to process the forward-view image data, the forward-view sensing data, and the side-view sensing data. The controller detects both a preceding object located in a region forward of the vehicle and a side object located in a region on the side of the vehicle in response to a result of processing the forward-view image data, the forward-view sensing data, and the side-view sensing data. In response to a collision between the vehicle and the preceding object being predicted and the region on the side of the vehicle being free of the side object, the controller outputs a steering signal to a steering device of the vehicle.