Vehicle Early-Warning System Using Segmented Detection Areas
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Solution Overview
Problem
The increasing number of accidents due to vehicle blind zones, where drivers are unable to react to pedestrians or vehicles that suddenly appear or cross the road, highlights the need for an effective early-warning system to enhance driving safety.
Innovation Solution
The proposed method involves determining a target object crossing a road, calculating a target area based on the object's location and movement, identifying the vehicle most affected by the target object's presence, and sending an early-warning message to that specific vehicle to prevent potential collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If early-warning messages are sent to all vehicles on the road, then the coverage of safety warning is improved, but the precision of warning and resource efficiency deteriorates
Solution Approach 1:
The system segments the road into multiple detection areas (first detection area, second detection area, third detection area) and identifies specific target objects in each area. Instead of issuing general warnings to all vehicles, the system generates targeted early-warning messages for specific vehicles based on their location and the detected target objects, thereby improving warning precision while maintaining comprehensive safety coverage.
Solution Approach 2:
The system applies different warning strategies to different localities and situations. By determining the specific location of target objects (e.g., crossing the road, abrupt appearance) and identifying which vehicles are most affected, the system provides localized warnings tailored to each vehicle's risk level, rather than applying a uniform warning approach to all vehicles.
2Reliability
If detection range is expanded to cover all possible target objects, then the safety coverage is improved, but the computational complexity and processing time increase
Solution Approach 1:
The detection process is segmented into multiple distinct areas (first detection area for crossing objects, second detection area for abrupt appearance, third detection area for other hazards). This segmentation allows the system to process different types of targets in different regions independently, reducing overall computational complexity while maintaining comprehensive detection coverage.
Solution Approach 2:
The system performs preliminary classification of detection areas and target objects before detailed analysis. By pre-defining detection areas and their purposes, and by quickly identifying which area a target belongs to, the system reduces the computational burden of subsequent detailed processing, enabling efficient handling of multiple target types across the entire road.
Data Source
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AI summary
The present disclosure discloses a method, apparatus and electronic device for early-warning, relates to the field of internet of vehicle and used for an intelligent traffic scenario. The specific implementations are: determining a target object crossing a road at a current moment, the road crossed by the target object being a first road; determining a target area based on a location of the target object; determining a target vehicle on the first road based on locations of vehicles on the first road as well as the target area; and sending an early-warning message to the target vehicle. It is using the locations of vehicles on the first road as well as the location of the target object crossing the road to determine the target vehicle during determination of the target vehicle among the vehicles on the first road, in order to send early-warning message to the target vehicle to achieve early-warning of the target vehicle and increase precision of the early-warning.