Proximity Event Detection Using Lane Change Data
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Solution Overview
Problem
Current vehicle event recorders struggle to accurately determine proximity events, particularly when lane changes occur, as they rely solely on proximity measurements without considering lane change information, leading to potential false notifications of proximity events.
Innovation Solution
A system that integrates a processor and memory to receive lane change information, determining proximity events based on both forward proximity measurements and lane change determinations, which includes a mechanism to suppress proximity events under specific conditions such as lane changes or cut-off events near proximity thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proximity measurements alone are used to determine proximity events, then the detection system is simple, but false proximity event notifications occur during lane changes
Solution Approach 1:
The patent combines proximity sensor data with lane change sensor data into a unified detection system. The processor integrates both data sources to make coordinated determination of proximity events, merging multiple sensing functions into a single event determination process that reduces false notifications while maintaining system simplicity
Solution Approach 2:
The processor acts as an intermediary that receives and coordinates data from both proximity sensors and lane change sensors. It mediates between the two data sources by analyzing their combined information before determining whether to notify of a proximity event, preventing false alarms during lane changes
2Measurement precision
If lane change information is integrated into proximity event determination, then false alarms are reduced, but the processing complexity increases
Solution Approach 1:
The system performs preliminary detection of lane change events using dedicated lane change sensors before they can cause false proximity notifications. By identifying lane changes in advance and using this information to modulate proximity event determination, the system achieves precise detection without complex real-time processing during critical moments
Data Source
AI summary
A system for determining proximity events includes an input interface and a processor. The input interface is to receive a lane change information. The processor is to determine a proximity event based at least in part on the lane change information.