Blind Spot Sensing Range Adaptation for Sharp-Turning Trucks
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Solution Overview
Problem
Large road vehicles face challenges in detecting objects within their blind spots, particularly during sharp turns, which increases the risk of collisions with undetected objects due to the limited visibility and detection range of existing technologies.
Innovation Solution
A blind spot detection system that uses sensors and predictive algorithms to adjust the detection range during impending sharp turns, extending the detection zone on the turning side of the vehicle to include areas that would otherwise be in the blind spot, allowing for timely alerts to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detection range is extended to cover blind spot areas during sharp turns, then the detection capability is improved, but the energy consumption and system complexity increase
Solution Approach 1:
The system dynamically adjusts the detection range based on vehicle operation state. During sharp turns, the detection range is extended to cover blind spot areas, while during normal straight-line driving, the detection range returns to a standard setting. This dynamic adaptation resolves the contradiction by providing enhanced detection capability only when necessary, rather than maintaining extended detection continuously.
Solution Approach 2:
The system changes the detection range parameter according to vehicle operating conditions. The controller receives signals from sensors detecting sharp turns and adjusts the detection range from a first setting to an extended second setting. This parameter change allows the system to optimize detection capability based on real-time conditions, improving measurement precision when needed while avoiding unnecessary complexity during normal operation.
2Reliability
If the detection range is extended during sharp turns, then the safety is improved, but the energy consumption increases
Solution Approach 1:
The system employs periodic adjustment of the detection range based on periodic detection of vehicle operation state. The controller continuously monitors for sharp turn conditions and adjusts the detection range accordingly, extending it during sharp turns and returning to normal settings when turns are completed. This periodic action ensures safety is improved during critical moments while minimizing energy consumption during normal operation.
Solution Approach 2:
The detection range is dynamically adjusted based on real-time vehicle operation state rather than maintaining a fixed extended range. This dynamic approach ensures that the energy-intensive extended detection is activated only when safety is compromised during sharp turns, thereby improving safety when needed while optimizing energy consumption overall.
3Reliability
If sensors continuously monitor for objects in blind spots, then the detection reliability is improved, but the false alerts increase
Solution Approach 1:
The system applies different detection characteristics to different spatial zones and operational conditions. During sharp turns, the detection range is extended to specifically cover the blind spot area on the turning side, while other areas maintain normal detection parameters. This localized approach improves detection reliability in the critical blind spot region during sharp turns without unnecessarily increasing false alerts in other areas.
Solution Approach 2:
The detection system dynamically adapts its range and sensitivity based on vehicle operation state. By extending the detection range only during sharp turns when blind spots are most problematic, the system improves detection reliability during critical moments while avoiding continuous monitoring that would generate false alerts during normal straight-line driving conditions.
Data Source
AI summary
In one embodiment, a blind spot detection system for a vehicle, the system comprising: one or more sensors configured to detect vehicle movements; a memory comprising instructions; and a controller configured by the instructions to: predict an impending sharp turn of the vehicle based on receiving a signal or signals from the one or more sensors; adjust a detection range from a first setting based on the prediction; and return to the first setting of the detection range upon termination of a sharp turn by the vehicle.