V2X Vehicle Alert Zoning by Object Type to Cut False Alarms
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Solution Overview
Problem
Existing navigation systems fail to provide appropriate driving assistance using vehicle-to-everything (V2X) communication by indiscriminately alerting drivers to all obstacles and emergency vehicles, leading to unnecessary notifications and user annoyance.
Innovation Solution
An information processing apparatus on a vehicle sets a first area based on the type of an object, determining if it is within this area before outputting alerting information, thereby focusing notifications only on high-priority objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system alerts drivers to all obstacles and emergency vehicles, then the coverage of safety notifications is improved, but the user experience deteriorates due to unnecessary notifications and annoyance
Solution Approach 1:
The notification system applies different alerting strategies based on the type of object detected. Critical objects (e.g., pedestrians, cyclists, emergency vehicles) trigger notifications, while non-critical objects (e.g., stationary obstacles, animals) do not. This selective approach ensures comprehensive safety coverage for important hazards while filtering out unnecessary alerts that would degrade user experience.
2Reliability
If the system provides comprehensive obstacle detection, then the safety coverage is improved, but the number of false alarms increases
Solution Approach 1:
The system changes the parameter of notification output based on the type of detected object. By categorizing objects into critical and non-critical types, the system adjusts whether to generate notifications accordingly. This parameter change approach maintains high safety coverage by detecting all objects while preserving signal quality by selectively notifying only about critical hazards, thereby reducing false alarms.
3Loss of information
If the system notifies all detected objects, then the information completeness is improved, but the notification effectiveness deteriorates due to alert fatigue
Solution Approach 1:
The system maintains information completeness by detecting and recording all objects in the environment. However, it applies local quality differentiation in the notification stage by selectively alerting only to critical objects. This ensures that the complete information is available for safety assessment while notification effectiveness is preserved by avoiding alert fatigue from non-critical notifications.
Solution Approach 2:
The system extracts critical information from the complete set of detected objects and separates it for notification. By identifying and extracting only the critical objects (pedestrians, cyclists, emergency vehicles) from the full detection set, the system maintains information completeness in its internal representation while improving notification effectiveness by alerting only to the extracted critical subset, thereby preventing alert fatigue.
Data Source
AI summary
The information processing apparatus according to the present disclosure is mounted on a first vehicle that performs communication by V2X. In the information processing apparatus according to the present disclosure, the controller receives first information including information regarding a location and a type of the first object. The controller sets a range of a first area corresponding to the first vehicle based on the information regarding the type of the first object. When it is determined that the first object is located in the first area based on the information regarding the location of the first object, the controller outputs a second information for urging attention to the first object from an output device mounted on the first vehicle.