Vehicle Sensor Target Filtering for Adaptive Processing Load Reduction
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Solution Overview
Problem
Existing technologies struggle to efficiently reduce the processing load of target information from external sensors in vehicle systems, particularly in dynamic road environments, leading to increased processing burdens.
Innovation Solution
An electronic control device that acquires information on the road environment and vehicle position, sets an exclusion area to determine which target information to process and which to exclude, thereby reducing the processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of external sensors and detection targets are increased to improve detection coverage, then the detection capability is improved, but the processing load of target information integration increases
Solution Approach 1:
The patent extracts and removes unnecessary target information from the processing stream by defining exclusion areas based on road environment and vehicle position. Targets located in these exclusion areas are eliminated from further processing, thereby reducing the processing load while preserving essential target information needed for safe driving operations.
Solution Approach 2:
The patent applies different processing qualities to different spatial regions by defining exclusion areas specific to each road environment and vehicle position context. Rather than uniformly processing all target information, the system selectively excludes targets in certain local regions (exclusion areas) while maintaining detailed processing for targets in other regions, optimizing the balance between detection capability and processing load.
2Productivity
If fixed priority scores are assigned to targets in different areas to reduce processing load, then the processing load is reduced, but the system cannot adapt to changes in road environment
Solution Approach 1:
The patent transforms the static, fixed priority score system into a dynamic one by continuously updating exclusion areas based on real-time road environment information and vehicle position. The exclusion areas are not fixed but adapt dynamically as the vehicle moves and the road environment changes, allowing the system to maintain low processing load while staying adaptable to different driving scenarios.
Solution Approach 2:
The patent changes the parameters used for target prioritization from fixed scores to dynamic spatial exclusion zones that are recalculated based on road environment and vehicle position. By changing from static parameter (fixed scores) to dynamic parameters (exclusion areas), the system achieves both reduced processing load and improved adaptability to varying road conditions.
Data Source
AI summary
An electronic control device includes a storage device that stores target information of a target detected by a plurality of external sensors installed in an own vehicle, and a control device that processes the target information stored in the storage device. The control device acquires information on an environment of a road on which the own vehicle travels and a position of the own vehicle, sets an exclusion area, which is a region for determining the target information to be excluded from a processing object from among the target information stored in the storage device, among surrounding regions of the own vehicle based on the environment of the road on which the own vehicle travels and the position of the own vehicle, and determines whether to set the target information as a processing object or exclude the target information from the processing object based on the exclusion area and the target information.