Dynamic Vehicle Alarm Area Adjustment for Visibility
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Solution Overview
Problem
Existing vehicle alarm systems fail to adjust their alarm areas based on weather conditions, leading to reduced visibility during rain or fog, which can result in late recognition of other vehicles and increased collision risks.
Innovation Solution
A vehicle alarm system that uses a camera to capture image data, processes it with an image processor, and determines the visible distance to dynamically adjust the alarm area, incorporating data from sensors to alert drivers of objects in the blind spot, thereby enhancing safety in adverse weather conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the alarm area is kept fixed in all weather conditions, then the system structure remains simple, but the collision risk increases in reduced visibility conditions
Solution Approach 1:
The alarm area is made dynamic by adjusting its size based on detected weather conditions. The controller receives weather information (rain, fog, snow detection) and automatically expands or contracts the alarm area boundaries to match current visibility conditions, transforming a static safety zone into an adaptive one that responds to environmental changes.
Solution Approach 2:
The system changes the spatial parameters of the alarm area (size, boundaries, coverage distance) based on weather parameter detection. When poor weather is detected, the alarm area parameters are expanded to cover greater distances and wider angles, ensuring objects remain within the monitoring zone despite reduced visibility.
2Reliability
If the alarm area is expanded in poor weather, then the safety is improved, but the false alarm rate may increase
Solution Approach 1:
The alarm system applies different alarm area configurations to different spatial regions based on weather conditions. In poor weather, the system selectively expands the alarm area in directions and distances where visibility is reduced, rather than uniformly expanding all boundaries. This localized adaptation reduces unnecessary coverage in clear areas while maintaining enhanced monitoring where needed.
Solution Approach 2:
The system continuously monitors weather conditions and adjusts alarm area parameters in real-time based on this feedback. The controller receives ongoing weather data and dynamically modifies the alarm zone boundaries, creating a closed-loop system that adapts to changing conditions and can contract the alarm area when visibility improves, thereby reducing false alarms.
Data Source
AI summary
The present disclosure relates to a system and method of alarm for a vehicle. The present disclosure describes a alarm system for a vehicle for allowing a driver to practice a defensive drive in a weather environment which is hard to recognize the situation around the vehicle. An embodiment provides a alarm system for a vehicle including a camera operable to be disposed at the vehicle so as to have a field of view exterior of the vehicle, where the camera configured to capture image data, an image processor operable to process image data captured from the camera; a plurality of sensors disposed at the vehicle for sensing at least one of a front, side, or rear so as to capture sensing data, an alarm device for alerting a driver when detecting an object located in blind spot of the rear of the vehicle, and controller including at least one of processor configured to process at least one of (i) processing result of the captured image data and (ii) sensing data captured by the plurality of sensors.