Rotatable Blind Spot Sensor for Detection Accuracy
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Solution Overview
Problem
Existing blind spot monitoring systems in vehicles are limited in their ability to accurately detect objects in blind spots and provide effective collision avoidance, often resulting in false detections and alerts, especially in heavy traffic conditions.
Innovation Solution
A rotatable blind spot sensor system that adjusts its directivity mode and angle to optimize detection, using multiple focus areas and power levels, and mechanically rotating to improve detection accuracy and reduce false alerts by distinguishing between vehicles and static objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed blind spot sensor is used, then the system structure is simple, but the detection accuracy is low and false detections occur frequently
Solution Approach 1:
The blind spot sensor is made rotatable rather than fixed, allowing it to dynamically adjust its detection angle. The sensor can rotate between at least two different angles to scan different areas, enabling the system to distinguish between stationary objects and moving vehicles by comparing detections at different angles, thereby improving detection accuracy without requiring multiple fixed sensors
Solution Approach 2:
The detection area is divided into multiple zones by rotating the sensor to different angles. Each rotation angle corresponds to a specific detection zone, allowing the system to segment the blind spot monitoring task into multiple directional scans. This segmentation enables better object classification and reduces false detections while maintaining a single sensor structure
2Area of stationary object
If the sensor monitors a large detection area, then the coverage is improved, but the ability to distinguish moving vehicles from static objects decreases
Solution Approach 1:
The sensor dynamically changes its detection angle through rotation when a potential object is detected. By scanning the same area at different angles, the system can determine whether an object is stationary (detected at all angles) or moving (detected at specific angles only), thereby maintaining large coverage area while improving object differentiation accuracy
Solution Approach 2:
The sensor performs periodic scanning at different rotation angles. When an object is initially detected, the sensor rotates to a different angle and scans again. This periodic multi-angle scanning allows the system to distinguish between static objects (which remain detected across multiple scans) and moving vehicles (which may enter or exit the detection zone between scans)
3Reliability
If multiple sensors are used to improve detection accuracy, then the detection reliability is improved, but the system cost and complexity increase
Solution Approach 1:
Instead of using multiple fixed sensors simultaneously, the system uses a single sensor that rotates to different angles. This dynamic approach provides multiple detection perspectives over time, achieving the same reliability improvement as multiple sensors would provide, but with reduced hardware complexity and cost
Solution Approach 2:
A single blind spot sensor is designed to perform multiple detection functions by rotating to different angles. The same sensor covers multiple detection zones that would otherwise require multiple dedicated sensors, making the sensor multi-functional and reducing the total number of components needed in the system
Data Source
AI summary
A system and method are provided and include a rotatable blind spot sensor that monitors a blind spot detection area of a subject vehicle. The rotatable blind spot sensor generates first object data while positioned at a first angle and second object data while positioned at a second angle. A controller receives the first object data and the second object data and determines whether the object is a secondary vehicle located within a blind spot detection area of the subject vehicle. A driver alert system generates an alert in response to the controller determining that the object is the secondary vehicle located within the blind spot detection area of the subject vehicle.