Vehicle Sensor Fusion Switching for Camera Fault Avoidance Control
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Solution Overview
Problem
Vehicles equipped with advanced driver assistance systems may fail to prevent collisions due to temporary recognition deterioration when sensors like cameras experience abnormalities during operation.
Innovation Solution
A vehicle system utilizing a combination of front and corner cameras, radars, and LiDAR sensors that dynamically switch between fusion modes based on sensor reliability, automatically transitioning from a primary fusion mode using a camera and radar to a secondary fusion mode involving LiDAR when camera abnormalities are detected, ensuring continuous collision avoidance capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses a camera-based fusion mode for avoidance control, then the system can operate with primary sensor configuration, but the recognition accuracy deteriorates when the camera experiences abnormality
Solution Approach 1:
The system dynamically changes the fusion mode parameter from camera-radar fusion to LiDAR-radar fusion when camera abnormality is detected. The controller monitors camera status and switches the primary sensor parameter, thereby maintaining recognition accuracy despite camera failure
Solution Approach 2:
The vehicle is equipped with redundant LiDAR sensors positioned at corners before camera failure occurs. This prior preparation ensures that when camera abnormality happens, the system can immediately switch to LiDAR-based fusion mode without loss of recognition capability
2Measurement precision
If the vehicle switches fusion modes dynamically based on sensor abnormality, then the recognition accuracy is maintained, but the system complexity increases
Solution Approach 1:
The system implements dynamic fusion mode switching where the controller automatically transitions between camera-radar fusion mode and LiDAR-radar fusion mode based on real-time sensor status. This dynamic adaptation maintains recognition accuracy while managing complexity through automated control logic
Solution Approach 2:
The vehicle sensor system is designed with multi-functionality, where both camera and LiDAR sensors can serve as primary detection devices depending on operational conditions. This universal design allows the system to handle various failure scenarios without requiring dedicated backup systems for each sensor type
Data Source
AI summary
A vehicle includes a front camera, a front radar, a corner radar, a corner LiDAR, and a controller configured to generate a first fusion mode by processing image data and radar data or to generate a second fusion mode by processing radar data and LiDAR data, wherein the controller changes the first fusion mode to the second fusion mode when the controller detects an abnormality of the front camera while performing avoidance control of the vehicle based on the first fusion mode, and performs the avoidance control based on the second fusion mode for a predetermined time period.