Rear-View Image Analysis for Lane-Changing Detection
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Solution Overview
Problem
Existing systems fail to effectively warn drivers of hazardous lane-changing maneuvers by rear-approaching vehicles, particularly those switching from adjacent lanes to the same lane, which can lead to collisions if the driver of the ego-vehicle is not aware of the relative distance and impending lane change.
Innovation Solution
A warning method and system using an image sensor to detect rear-view images, define regions of interest, and identify flashing direction lights to determine if a rear-approaching vehicle is planning to change lanes, triggering an alarm signal to alert the driver of potential threats and maintain awareness of relative distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing rear-view monitoring systems are used to detect vehicles approaching from the rear, then the driver is warned of vehicles in the same lane or adjacent lane, but hazardous lane-changing maneuvers by rear-approaching vehicles are not detected
Solution Approach 1:
The monitoring system segments the rear-view field into multiple regions of interest (ROIs) corresponding to different lanes (same lane, left adjacent lane, right adjacent lane). This segmentation allows the system to independently analyze each lane for vehicles and their lane-changing intentions, improving detection accuracy while capturing comprehensive lane-changing information that previous holistic approaches missed.
Solution Approach 2:
The system performs preliminary detection of direction lights (turn signals) on rear-approaching vehicles before the actual lane-changing maneuver occurs. By detecting the activation of direction lights in specific ROIs, the system warns the driver in advance of impending lane-changing intentions, allowing the driver to take preventive action before the hazard materializes.
2Ease of operation
If the driver is not aware of the relative distance and lane-changing intentions of rear-approaching vehicles, then normal driving continues, but collision risk increases
Solution Approach 1:
The system provides continuous feedback to the driver about the presence and intentions of rear-approaching vehicles through visual warnings displayed on the rear-view monitor. The feedback includes information about vehicle position in specific lanes and detected lane-changing intentions, allowing the driver to adjust behavior while maintaining normal driving flow, thereby reducing collision risk without disrupting driving continuity.
3Measurement precision
If the system monitors all lanes for direction lights, then complete lane-changing detection is achieved, but false alarms from non-threat vehicles are not filtered
Solution Approach 1:
The system applies different analysis criteria to different regions of interest (ROIs) based on their spatial relationship to the ego-vehicle. Vehicles detected in the same-lane ROI are subject to stricter monitoring and alarm triggers compared to vehicles in adjacent lanes, as same-lane vehicles pose greater collision risk. This localized quality adjustment improves both detection precision and alarm accuracy by reducing false alarms from non-threat vehicles in adjacent lanes while maintaining sensitive detection for high-risk same-lane vehicles.
Data Source
AI summary
A warning method and system for detecting lane-changing condition of rear-approaching vehicles are disclosed, in which the method comprises the steps of: detecting rear-view images of an ego-vehicle so as to be used for defining three regions of interest (ROI) corresponding respectively to a lane to the left of the ego-vehicle, a lane to the right of the ego-vehicle, and a lane where the ego-vehicle is travelling thereon; detecting whether there is any direction light that is flashing to be used as basis for determining whether there is any vehicle approaching from the rear that is expected to be a potential threat to the ego-vehicle; and if so, issuing an alarm signal to the driver of the ego-vehicle for reminding the same to aware the distance between the ego-vehicle and the rear-approaching vehicle. Thereby, the driver's road environment awareness is enhanced and consequently the safety of driving can be improved.


