Vehicle Sensor Fusion Control for Position-Dependent Target Detection
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Solution Overview
Problem
The accuracy of information obtained from each sensor varies depending on the positional relationship between the target and the sensors, affecting the reliability of vehicle control systems.
Innovation Solution
A vehicle control device that integrates a sensor unit for detecting targets, a first acquisition unit for roadside sensor information, and a control unit to determine the use of either or both sensor and roadside sensor information based on positional relationships, enabling accurate vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor information is used for vehicle control, then the system can detect targets and perform control functions, but the accuracy of target detection varies depending on the positional relationship between the sensor and the target
Solution Approach 1:
The patent combines sensor information from the vehicle with roadside sensor information to create a comprehensive target detection system. The control unit integrates data from both sources, allowing the system to maintain high reliability while compensating for the limitations of individual sensors based on their positional relationships with targets.
Solution Approach 2:
The control unit dynamically changes the parameters of target information by selecting and combining data from different sensor sources based on the positional relationship between the vehicle, roadside sensors, and targets. This allows the system to optimize detection accuracy for different spatial configurations.
2Measurement precision
If only vehicle-mounted sensor information is used, then the system structure remains simple, but the detection coverage and accuracy are limited by the vehicle's position
Solution Approach 1:
The control unit serves multiple functions by既能 processing vehicle-mounted sensor data又能 integrating roadside sensor information. This multi-functional approach enables the system to achieve enhanced detection accuracy without requiring completely separate processing systems, thereby managing complexity while improving performance.
Solution Approach 2:
The control unit acts as an intermediary that receives and processes information from both the vehicle-mounted sensors and roadside sensors. It mediates between these different information sources, selecting and combining the most appropriate data based on the positional relationship with targets, thus improving accuracy without directly increasing physical system complexity.
3Measurement precision
If roadside sensor information is always used, then detection coverage is improved, but the system cannot adapt to situations where vehicle-mounted sensors provide sufficient accurate information
Solution Approach 1:
The control unit dynamically adapts its information processing strategy based on real-time conditions. It continuously evaluates the positional relationship between the vehicle, roadside sensors, and targets, and adjusts which sensor information to use accordingly. This dynamic approach allows the system to achieve comprehensive detection coverage while maintaining situational adaptability.
Solution Approach 2:
The control unit uses feedback from the positional relationship data to determine the optimal use of sensor information. By continuously monitoring the positions of the vehicle, roadside sensors, and targets, the system adjusts its information processing strategy in real-time, ensuring both comprehensive coverage and situational adaptability.
Data Source
AI summary
A vehicle control device that is mounted on a vehicle and controls the vehicle includes a sensor unit that detects a target, a first acquisition unit that acquires information from a roadside sensor that detects the target, a second acquisition unit that acquires position information of the vehicle, and a control unit that determines whether to use one or both of the first target information obtained by the sensor unit and the second target information obtained by the roadside sensor based on the first position of the target, the second position of the vehicle, and the third position of the roadside sensor, and controls the vehicle based on the determination content.