Vehicular Drive Assist Evaluation Stability
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Solution Overview
Problem
Conventional vehicular drive assist systems face challenges in providing accurate and reliable evaluations of road ease of travel due to dynamic changes caused by factors like presence of preceding vehicles or pedestrians, leading to excessive evaluation fluctuations and reduced effectiveness of drive assist performance.
Innovation Solution
The system performs drive assist by restricting the variation width of ease of travel evaluation based on static road environment factors, using both map-included and map-excluded information, and dynamically correcting evaluations with real-time disturbance factor considerations to better reflect individual vehicle states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If evaluation relating to ease of travel is dynamically adjusted based on real-time factors, then the evaluation reflects current road conditions more accurately, but the evaluation fluctuates excessively and loses reliability
Solution Approach 1:
The patent implements a two-layer evaluation system where the base evaluation is static (based on map information) and the correction is dynamic (based on real-time disturbance factors). This allows the system to adapt to changing conditions while maintaining overall evaluation stability through the anchoring effect of the static base evaluation.
Solution Approach 2:
The patent changes the parameter representation by separating the evaluation into two components: base evaluation (from map data) and correction value (from real-time factors). This parameter separation allows independent control of stability (base) and accuracy (correction), resolving the contradiction between reliability and measurement precision.
2Adaptability or versatility
If statistical processing is performed on collected vehicle data, then evaluation can be applied uniformly across areas, but individual vehicle feedback is lost and evaluation becomes inappropriate for specific contexts
Solution Approach 1:
The patent segments the evaluation system into two parts: a general base evaluation applicable to all vehicles in an area (from statistical processing of map information), and a specific correction value tailored to individual vehicle conditions (from real-time disturbance factors). This segmentation allows both uniformity and appropriateness to coexist.
Solution Approach 2:
The patent introduces feedback mechanisms where individual vehicle disturbance factors are continuously monitored and used to correct the base evaluation in real-time. This feedback loop ensures that while the base evaluation remains uniform across vehicles, each vehicle receives appropriately customized evaluation feedback based on its specific conditions.
3Measurement precision
If evaluation is corrected based on all disturbance factors, then individual vehicle states are accurately reflected, but processing load increases unnecessarily
Solution Approach 1:
The patent applies partial correction by selectively adjusting the evaluation only based on relevant disturbance factors rather than processing all possible factors. This partial action approach maintains adequate evaluation customization while significantly reducing processing complexity and computational load.
Data Source
AI summary
A vehicular drive assist system performs drive assist for a vehicle traveling in each predetermined area while receiving a feedback on evaluation relating to ease of travel on a road in each of the areas. In the system, a management center performs evaluation of ease of travel on a road for each of the areas on the basis of information obtained from the vehicle and feeds back the evaluation result to the vehicle. In this case, a variation width of the evaluation relating to ease of travel is restricted on a basis of static factors of road environment for each of the areas.