Blind Spot Detection Using Rear and Front Vehicle Sensors
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Solution Overview
Problem
Conventional motor vehicles have blind spots that cannot be detected by drivers using side mirrors and rear mirrors, leading to potential accidents during maneuvers, and existing solutions with dedicated sensors for monitoring these areas increase vehicle costs.
Innovation Solution
A method and device using rear and front sensors, such as cameras, to detect vehicles in blind spots by monitoring areas behind and in front of the vehicle, informing the driver through audible or visible signals without the need for dedicated side sensors, utilizing image processing to confirm vehicle identity and direction changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated sensors such as cameras are provided to monitor the side areas and blind spots, then the driver awareness and safety are improved, but the vehicle cost increases
Solution Approach 1:
The patent applies multi-functionality by using existing rear and front sensors for multiple purposes: they not only perform their original functions (monitoring rear and front areas) but also detect vehicles in blind spot areas by analyzing the motion trajectories of detected vehicles. This eliminates the need for dedicated side sensors while maintaining blind spot monitoring capability.
Solution Approach 2:
The system uses the vehicle's own existing sensors (rear and front cameras/sensors) to serve the additional function of blind spot detection. The sensors monitor their respective areas and the control unit processes the data to infer blind spot conditions, allowing the vehicle to self-monitor without external dedicated components.
2Measurement precision
If dedicated sensors are installed to monitor blind spots, then the detection accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent merges the function of blind spot detection with the existing rear and front sensor systems. The control unit combines data from both sensors to detect vehicles in blind areas by analyzing motion patterns, effectively combining multiple functions into a unified system that uses fewer components.
Solution Approach 2:
Existing sensors are made multi-functional by using them not only for their primary monitoring purposes but also for detecting vehicles entering or leaving blind spot areas through trajectory analysis, reducing the need for additional dedicated sensors.
3Device complexity
If rear and front sensors are used to detect blind spot vehicles, then the vehicle cost is reduced, but the detection reliability may be compromised
Solution Approach 1:
The control unit continuously receives feedback from both rear and front sensors and processes this information to determine vehicle trajectories. By analyzing the motion patterns and position changes detected by these sensors, the system reliably infers whether vehicles are present in blind spot areas, maintaining detection reliability despite using existing sensors.
Solution Approach 2:
The control unit acts as an intermediary that processes data from the rear and front sensors to infer blind spot conditions. It analyzes the combined information from both sensors to determine if a vehicle is entering or leaving the blind area, ensuring reliable detection through data synthesis rather than direct blind spot monitoring.
Data Source
AI summary
Methods and devices are disclosed for assisting a driver of a first vehicle where a second vehicle is detected by a sensor of the first vehicle and a driver of the first vehicle is informed that the second vehicle is at the side of the first vehicle when the second vehicle leaves an area monitored by the sensor, the area monitored by the sensor being an area behind the first vehicle.