Vehicle Control Apparatus Risk Potential Grid Segmentation
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Solution Overview
Problem
Existing vehicle control systems fail to select an avoidance route with a low degree of risk, as they simply calculate the minimum risk position without considering the overall risk distribution around the vehicle.
Innovation Solution
A vehicle control apparatus that detects surrounding objects, divides the road area into sections, sets potentials for each section based on detected objects, calculates an index value considering both section potentials and foreseen information, and selects sections along the vehicle's path to determine a safer route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system simply calculates the minimum degree of risk for each position, then the calculation process is simple and fast, but the selected position may have low local risk while surrounding areas have high risk, resulting in an unsafe avoidance route
Solution Approach 1:
The patent divides the road area into multiple divided areas (grids) and further segments the risk evaluation into local degree of risk (for each divided area) and overall degree of risk (considering surrounding areas). This segmentation allows the system to evaluate both local and surrounding risk independently, resolving the contradiction by enabling comprehensive safety assessment without requiring a completely complex monolithic evaluation system.
Solution Approach 2:
The patent introduces a new dimension of evaluation by considering not only the current divided area but also surrounding divided areas in the risk assessment. By adding this spatial dimension (surrounding areas) to the traditional single-point risk evaluation, the system achieves more reliable route selection while maintaining a structured approach that doesn't excessively increase complexity.
2Reliability
If the system evaluates only the current divided area without considering surrounding areas, then the evaluation process is simple and fast, but the system cannot ensure that the selected position is entirely safe from surrounding risks
Solution Approach 1:
The patent performs preliminary evaluation of surrounding divided areas by generating foreseen information about future risk states. This preliminary action allows the system to anticipate potential risks in surrounding areas before the vehicle reaches them, enabling comprehensive safety assessment without requiring real-time analysis of all surrounding areas, thus reducing evaluation time while maintaining reliability.
Solution Approach 2:
The patent evaluates only certain surrounding divided areas (those within a predetermined range or having significant impact) rather than all possible surrounding areas. This partial evaluation approach achieves comprehensive enough safety assessment while avoiding the excessive time consumption that would result from evaluating every possible surrounding area in detail.
3Measurement precision
If the system uses a comprehensive risk evaluation considering surrounding areas, then the avoidance route selection is more accurate and safe, but the calculation complexity and processing time increase
Solution Approach 1:
The patent segments the comprehensive risk evaluation into two distinct components: local degree of risk (for the current divided area) and overall degree of risk (for surrounding areas). This segmentation allows the system to maintain high measurement precision by considering both local and surrounding factors, while managing complexity through a modular structure where each component can be calculated independently and then combined.
Solution Approach 2:
The patent adds the dimension of surrounding area evaluation to the traditional single-point risk assessment. By introducing this additional spatial dimension, the system achieves more precise route selection that considers both immediate and future risks, while the structured approach to evaluating surrounding areas prevents excessive complexity from overwhelming the system.
Data Source
AI summary
A vehicle control apparatus includes a detecting unit that detects an surrounding object around a vehicle; a first setting unit that sets a first potential for multiple divided areas resulting from division of a road area based on the road area; a second setting unit that sets a second potential for the divided areas based on the detected surrounding object; an evaluating unit that calculates an index value by evaluating a potential of a target divided area based on the first potential and the second potential set for the target divided area in the multiple divided areas and foreseen information generated for surrounding divided areas selected from a periphery of the target divided area; and a selecting unit that selects one or more divided areas along a moving direction of the vehicle from the multiple divided areas based on the calculated index value.