Vehicle Pedestrian Detection Visibility Filtering
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Solution Overview
Problem
Conventional vehicle environment monitoring systems generate excessive sensory input, leading to driver overload and decreased safety, as they fail to differentiate between visible and non-visible pedestrians, thereby producing unnecessary warnings.
Innovation Solution
A vehicle environment monitoring system with a people detection unit and a decision unit that assesses the visibility of detected pedestrians, using cameras, sensors, and navigation data to differentiate between core and peripheral warning regions, and selectively generates acoustic or optical signals based on the driver's viewing direction and environmental conditions to minimize unnecessary alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring system generates danger signals for all detected people, then the completeness of detection is improved, but the driver experiences sensory overload and distraction
Solution Approach 1:
The system applies different signal generation rules to different spatial regions: people in the core warning region trigger danger signals regardless of visibility, while people in the peripheral warning region only trigger signals if they are not visible to the driver. This local differentiation resolves the contradiction by making the detection complete (all people detected) but the signaling selective (only necessary warnings issued).
Solution Approach 2:
Instead of signaling all detected people and filtering out visible ones, the system inverts the logic for peripheral regions: it assumes visibility by default and only signals when visibility is absent. This inversion reduces unnecessary signals while maintaining detection completeness.
2Reliability
If the system issues warnings for all detected pedestrians, then safety monitoring is improved, but driver attention is reduced due to excessive alerts
Solution Approach 1:
The system divides the monitoring space into core and peripheral warning regions with different alerting strategies. In the core region, all detections trigger alerts ensuring high safety monitoring. In the peripheral region, alerts are suppressed when pedestrians are visible, preserving driver attention. This spatial differentiation resolves the contradiction between comprehensive monitoring and manageable alert levels.
Solution Approach 2:
The visibility assessment acts as an intermediary filter between pedestrian detection and alert generation. For peripheral warnings, the system uses visibility information to mediate whether an alert should be issued, thereby reducing unnecessary alerts while maintaining safety monitoring for critical situations.
3Reliability
If acoustic signals are used for all warnings, then driver awareness is improved, but sensory overload increases
Solution Approach 1:
The system applies different signal types to different warning regions: acoustic signals for core warnings where immediate awareness is critical, and optical signals for peripheral warnings where information provision suffices. This differentiation maintains driver awareness for critical threats while reducing sensory overload from non-critical alerts.
Solution Approach 2:
Instead of using the more intrusive acoustic signal for all warnings, the system inverts the approach by using the milder optical signal for peripheral warnings and reserving acoustic signals for core warnings only. This inversion reduces overall sensory load while maintaining awareness where most needed.
Data Source
AI summary
A vehicle environment monitoring system is disclosed which includes a people detection unit for detecting the presence of people in the environment of a vehicle and a danger signaler for generating danger signals of at least one first kind. A decision unit for deciding on the generation of a danger signal of the first kind when detecting a person by means of the people detection unit in dependence of the visibility of the person for the driver of the vehicle.