Centralized Target Downselection for Multi-Feature Driver Assist
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Solution Overview
Problem
Existing vehicle driver assistance systems face inefficiencies in processing and resource allocation due to separate target selection processes for multiple features, leading to increased computational load and resource consumption.
Innovation Solution
A centralized downselection module that collectively performs target downselection for multiple driver assistance features using spatial, state, and sorting filters, reducing redundant processing and providing a unified framework for target data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate target selection processes are used for multiple driver assistance features, then each feature can be independently configured and maintained, but computational load and resource consumption increase
Solution Approach 1:
The patent combines multiple separate target selection processes into a single unified downselection module that serves multiple driver assistance features. This consolidation reduces redundant computational operations and resource consumption while maintaining the ability to independently configure different features through parameter settings, thereby resolving the contradiction between independent configuration and computational efficiency
Solution Approach 2:
The downselection module is designed as a universal component that can serve multiple different driver assistance features simultaneously. By implementing a single module with multi-functional capabilities rather than separate dedicated processes for each feature, the system reduces overall computational load while preserving feature-specific configurability through parameterization
2Reliability
If separate target selection processes are used for multiple driver assistance features, then each feature has dedicated processing, but resource consumption increases
Solution Approach 1:
Multiple dedicated target selection processes are merged into a single unified downselection module. This consolidation eliminates redundant resource consumption associated with maintaining separate processes while preserving reliable processing for each driver assistance feature through parameterized configurations that ensure feature-specific requirements are met
3Productivity
If a centralized downselection module is used for multiple driver assistance features, then processing efficiency is improved, but adaptability to modify features is reduced
Solution Approach 1:
The unified downselection module employs parameter changes to maintain adaptability. Each driver assistance feature is configured through specific parameters that can be modified independently, allowing the system to adapt to different features and modifications while operating efficiently through a single consolidated processing path, thus resolving the contradiction between processing efficiency and feature adaptability
Data Source
AI summary
Respective driver assist features that are currently active in a vehicle are identified, and parameters are obtained for determining respective sets of target objects for the driver assist features. The parameters of a first one of the driver assist features are applied to output a first target set of one or more targets selected from a set of candidate objects for the first one of the driver assist features, and then parameters of a second one of the driver assist feature are applied to output a second target set of one or more targets selected from the set of candidate objects for the second one of the driver assist features.