Vehicle Light Alerts Based on Critical Collision Trajectories
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Solution Overview
Problem
Current collision prevention systems in motor vehicles often fail to adequately alert drivers of potential collisions, as they either provide insufficient time for reaction or do not differentiate risk levels among detected objects, leading to confusion and untimely triggering of autonomous emergency braking.
Innovation Solution
A method that detects target objects, estimates their critical trajectories, and modulates light alerts based on collision risk and time, allowing drivers to anticipate and adjust their trajectory without premature activation of the emergency braking system, while clearly differentiating risk levels through tailored light alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the alert system emits an alert as soon as an object is detected, then the driver receives early warning, but the alert may be emitted untimely causing sudden emergency braking
Solution Approach 1:
The system performs preliminary estimation of critical trajectories and collision risk assessment before emitting an alert. By calculating potential collision paths and evaluating risk levels in advance, the system determines the optimal timing for alert emission, ensuring alerts are emitted at the right moment rather than prematurely or too late.
2Ease of operation
If the alert system uses a single indicator light for all detected objects, then the system is simple to operate, but the driver cannot discern risk levels associated with different objects
Solution Approach 1:
The system applies different alert characteristics (color, intensity, position) to different detected objects based on their individual risk levels. Each object receives a tailored alert signal that reflects its specific collision risk, allowing the driver to differentiate between low-risk and high-risk objects through the visual properties of the light alerts.
Solution Approach 2:
The alert system utilizes color variations in light modules to encode different risk levels. By changing the color or intensity of light alerts based on collision risk assessment, the system provides intuitive visual differentiation between objects of varying risk, enabling the driver to quickly understand the urgency and priority of each detected object.
3Device complexity
If the alert system emits the same alert for all detected objects, then the system is simple to implement, but the driver experiences difficulty interpreting alerts when multiple objects are detected
Solution Approach 1:
The alert system segments the alert emission process by associating separate alert signals with each detected object based on its critical trajectory and risk level. Instead of a single unified alert, the system generates individualized alerts for multiple objects, allowing the driver to distinguish between different objects and their respective risks through spatial and visual differentiation.
Data Source
AI summary
A method for preventing a collision between a motor vehicle and at least one target object, the motor vehicle includes a detection system capable of detecting the target object and a warning system including at least one light module. The method includes detecting the target object and determining a position and a speed of the target object using the detection system. The method further includes estimating a critical trajectory likely to be followed by the target object in order to collide with the vehicle depending on the position and the speed of the target object, the critical trajectory being associated with a collision risk/collision time relationship. The method additional includes transmitting at least one light warning to the driver of the vehicle using the light module of the warning system.