Rear Vehicle Warning Logic With Non-Target Vehicle Filtering
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Solution Overview
Problem
Existing surroundings monitoring systems in vehicles may unnecessarily warn drivers of approaching vehicles due to the presence of non-target vehicles in adjacent lanes, leading to driver burden and potential false alarms.
Innovation Solution
A surroundings monitoring system equipped with an object sensor that determines the presence of non-target vehicles in a defined region between the host vehicle and an approaching vehicle, inhibiting collision avoidance tasks when such vehicles are present, thereby reducing unnecessary warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the warning condition is met to warn the driver of the host vehicle of the approaching vehicle, then the driver is alerted of potential collision risk, but unnecessary warnings are issued when a non-target vehicle is present between the host vehicle and approaching vehicle
Solution Approach 1:
The system segments the detection area into multiple regions along the movement path of the approaching vehicle. It specifically identifies and analyzes the region between the host vehicle and the approaching vehicle separately from other areas. By detecting whether a non-target vehicle occupies this intermediate region, the system can distinguish between genuine collision risks and false alarm scenarios, thereby improving warning accuracy and reducing unnecessary driver alerts.
2Reliability
If the collision avoidance task is performed for all approaching vehicles meeting the warning condition, then potential collisions are prevented, but the system performs unnecessary tasks for vehicles blocked by non-target vehicles
Solution Approach 1:
The system performs a preliminary check by detecting the presence of non-target vehicles in the region between the host vehicle and approaching vehicle before executing the collision avoidance task. This preliminary detection allows the system to pre-filter out approaching vehicles that are blocked by non-target vehicles and thus pose no actual collision threat. By doing so, the system avoids performing unnecessary collision avoidance tasks, improving overall system efficiency while maintaining reliable collision prevention for genuine threats.
3Adaptability or versatility
If the object sensor detects all vehicles in the surrounding area, then comprehensive monitoring is achieved, but false warnings occur when non-target vehicles are present in the detection range
Solution Approach 1:
The system applies local quality analysis by focusing on the specific region between the host vehicle and approaching vehicle. Instead of treating all detected vehicles uniformly, it specifically examines whether a non-target vehicle occupies this critical intermediate zone. This localized analysis allows the system to maintain comprehensive monitoring of all surrounding vehicles while accurately identifying which detected vehicles represent genuine collision risks versus false alarm sources, thereby improving target identification precision.
Data Source
AI summary
A surroundings monitoring system (30) is used with a system-mounted vehicle (40) equipped with an object sensor (21, 22) which senses an object around the system-mounted vehicle. When a vehicle approaching from behind the system-mounted vehicle on a road where the system-mounted vehicle is moving is detected by the object sensor, the surroundings monitoring system performs a collision avoidance task depending upon whether a predetermined warning condition for the approaching vehicle is met. The surroundings monitoring system determines whether a non-target vehicle is present in a region on the road which is defined to extend from the system-mounted vehicle to the approaching vehicle. The non-target vehicle is a vehicle not meeting the warning condition. When the non-target vehicle is determined to be present, the surrounding monitoring system inhibits the collision avoidance task from being performed for the approaching vehicle present behind the non-target vehicle.