Vehicle Object Detection Prioritization for Traffic-Aware Data Output
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Solution Overview
Problem
Existing object detection apparatuses prioritize objects based solely on reflection intensity, which is insufficient for varying traffic environments, leading to ineffective detection in different scenarios.
Innovation Solution
An object detection apparatus that receives information on objects and traffic environments, using a controller to determine priority for each object and selectively output information based on traffic conditions, such as road type, to ensure relevant data is transmitted to in-vehicle systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If objects are prioritized based solely on reflection intensity, then detection consistency is maintained, but detection effectiveness varies in different traffic environments
Solution Approach 1:
The patent implements dynamic priority assignment where the priority of detected objects is not fixed but changes based on real-time traffic environment conditions. The controller adjusts priority levels dynamically by integrating traffic environment information (such as road type, weather, time of day) with detection results, allowing the system to adapt to varying traffic scenarios while maintaining reliable detection through consistent evaluation criteria
Solution Approach 2:
The system changes the parameters used for priority determination based on traffic environment. Instead of using only reflection intensity as a static parameter, the patent introduces multiple dynamic parameters including traffic environment type, object distance, object type, and temporal factors. These parameter changes enable the detection system to effectively prioritize objects relevant to current traffic conditions
2Loss of information
If all detected object information is transmitted to in-vehicle apparatus, then complete information is provided, but data transmission efficiency decreases when total information exceeds determined value
Solution Approach 1:
The patent extracts and transmits only the most relevant object information to the in-vehicle apparatus based on priority evaluation. The controller determines which detected objects exceed the determined value threshold and selectively outputs information about those specific objects. This extraction approach ensures that critical information is not lost while avoiding transmission of unnecessary data, thereby maintaining both information completeness for safety-critical objects and transmission efficiency for the overall system
Solution Approach 2:
The system implements partial information transmission by selectively outputting data about objects that exceed the determined value threshold. Rather than transmitting complete information about all detected objects (excessive action) or using a fixed threshold (partial action), the patent dynamically determines which objects require transmission based on their priority relative to the threshold, achieving optimal balance between information completeness and transmission efficiency
Data Source
AI summary
An object detection apparatus includes an input port that receives information on a plurality of objects in surroundings of a vehicle and information on a traffic environment of the vehicle, the plurality of objects being detected by a sensor installed on the vehicle, a controller that determines, based on the information on the plurality of objects and the information on the traffic environment, priority for each of the plurality of objects and determines first information based on the priority in a case where the total amount of information on the plurality of objects is greater than a determined value, the first information being information on part of the plurality of objects, and an output port that outputs the first information to an in-vehicle apparatus that controls the vehicle.