Smart Cruise Control Fallback Logic for Radar Dropout
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Solution Overview
Problem
Conventional smart cruise control systems face dangerous situations when radar data is temporarily invalid, leading to potential vehicle acceleration without recognizing the target vehicle, due to reliance on combined radar and camera data for target vehicle determination.
Innovation Solution
A smart cruise control system and method that utilizes a front camera and radar to process image and radar data, recognizing a target vehicle only when both data sources confirm its presence, and controls vehicle acceleration based on preset distances, limiting acceleration if radar data is invalid to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system requires both radar and camera data to confirm target vehicle presence, then the reliability of target vehicle determination is improved, but the system response time increases and acceleration control is delayed when radar data is temporarily invalid
Solution Approach 1:
The system pre-establishes the dual-sensor confirmation requirement for target vehicle determination. By having the validation logic and control parameters ready in advance, the system can quickly switch to the preset control mode (limiting acceleration) when radar data becomes invalid, without needing to process complex decisions in real-time, thus reducing the effective response time loss.
Solution Approach 2:
The system prepares compensatory control measures in advance by implementing a fallback mode that limits acceleration when radar data is invalid. This pre-prepared cushioning control strategy prevents the system from making hasty or erroneous acceleration decisions, maintaining reliability while managing the time delay through predetermined safe control parameters.
2Reliability
If the system limits acceleration when radar data is invalid, then the safety of the vehicle is improved, but the productivity of the vehicle (acceleration capability) is reduced
Solution Approach 1:
The system dynamically adjusts the acceleration capability based on the validity of radar data. When radar data is valid, the vehicle can accelerate normally to maintain productivity. When radar data becomes invalid, the system automatically switches to a limited acceleration mode, temporarily reducing productivity to ensure safety, and can restore full acceleration capability when radar data validity is reconfirmed.
Solution Approach 2:
The system changes the acceleration parameter dynamically based on sensor data validity. The acceleration limit parameter is adjusted from a normal value to a restricted value when radar data is invalid, and can be changed back when the situation improves. This parameter adaptation allows the system to balance safety requirements with productivity maintenance under different operating conditions.
Data Source
AI summary
A smart cruise control system includes a controller communicatively connected to a first sensor obtaining front image data and a second sensor obtaining front radar data, wherein the controller is configured to recognize a front vehicle based on the front image data and the front radar data, and in response to the front vehicle being not recognized in the front radar data and the front vehicle being recognized in the front image data, control the vehicle so that the vehicle is not accelerated even if the distance between the vehicle and the front vehicle recognized in the front image data is greater than the preset distance.