Object Sensing Device Dynamic Priority Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object sensing devices face challenges in improving pedestrian detection performance due to limited computation resources, as they must process multiple objects simultaneously without enhancing the sensing performance itself.
Innovation Solution
An object sensing device that includes an image capture unit, a processing device with a scene analysis unit, a process priority change unit, and an object-to-be-sensed sensing unit, which analyzes the travel scene, changes sensing process priority, and adjusts parameters to enhance pedestrian detection by prioritizing and optimizing the sensing process based on calculated pedestrian existence probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If more detailed processes are executed in the processing device to improve sensing performance, then pedestrian detection accuracy is improved, but computation resources are exceeded
Solution Approach 1:
The patent changes the parameter of process execution priority based on pedestrian existence probability. When pedestrian existence probability is high, the system executes detailed sensing processes with high priority to improve detection accuracy. When probability is low, it executes with low priority to conserve computation resources. This dynamic parameter adjustment resolves the contradiction between detection accuracy and resource consumption.
2Measurement precision
If the processing device intensively executes calculation processes for pedestrian sensing, then sensing performance is improved, but other object sensing processes are affected
Solution Approach 1:
The patent implements dynamic priority adjustment for different sensing processes based on pedestrian existence probability. The system dynamically changes the execution priority of pedestrian sensing processes while maintaining adaptive priority for other object sensing processes. This dynamic scheduling ensures that pedestrian detection receives intensive computation when needed without completely blocking other sensing operations, thus maintaining overall system productivity.
3Measurement precision
If computation resources are allocated to enhance pedestrian detection, then detection capability is improved, but limited computation resources become insufficient for processing multiple objects
Solution Approach 1:
The patent introduces a pedestrian existence probability parameter that dynamically controls resource allocation. Based on this probability parameter, the system automatically adjusts the computation resource allocation for pedestrian detection versus other object sensing. This parameter-based control mechanism simplifies the complexity of resource management by providing a clear decision criterion: high probability triggers resource-intensive processing, while low probability conserves resources for other tasks.
Data Source
AI summary
In order to provide an object sensing device whereby, among limited computation resources, performance is improved in sensing an object when sense processing a plurality of objects to be sensed, an object sensing device includes image capture units which capture images external to a host vehicle, and a processing device which sense processes objects to be sensed from the images which are captured by the image capture units, said processing device further including: a scene analysis unit which analyzes a travel scene of the host vehicle; a process priority change unit which changes a sensing process priority of the object to be sensed on the basis of the travel scene which is analyzed by the scene analysis unit; and an object to be sensed sensing unit which carries out a sensing of the object to be sensed on the basis of the sensing process priority which is changed by the process priority change unit.