Vehicle Sensor Data Landscape Quality Evaluation
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Solution Overview
Problem
Existing navigation devices do not effectively evaluate or provide information on the quality of the landscape view from a vehicle's perspective, failing to assess the aesthetic appeal of the surroundings in real-time.
Innovation Solution
An information-processing device that acquires sensor data from a vehicle, derives environmental indices, and evaluates the landscape quality based on these indices, providing relevant information to the occupant for improved route selection and autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If navigation devices provide route information and store information, then basic navigation functionality is achieved, but landscape view quality evaluation capability is lacking
Solution Approach 1:
The navigation device is enhanced with multi-functionality by integrating landscape evaluation capabilities alongside existing navigation functions. The device now simultaneously provides route guidance, store information, and automated landscape quality assessment using sensor data from the vehicle, making a single system serve multiple purposes without requiring separate dedicated devices
Solution Approach 2:
The system performs self-service by automatically acquiring sensor detection information from the vehicle, deriving environmental indices, and evaluating landscape quality without requiring manual input from the occupant. The evaluation unit autonomously processes the data and generates landscape quality assessments, reducing the need for user intervention while enhancing functionality
2Measurement precision
If multiple sensors are mounted in the vehicle to acquire detection information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensors mounted in the vehicle are merged into a unified data acquisition system. The sensor detection information from various sensors is integrated and processed together by the derivation unit, which combines the data to derive comprehensive environmental indices. This merging approach maintains high measurement precision while reducing the operational complexity of managing multiple separate sensor systems
Solution Approach 2:
The derivation unit acts as an intermediary between the multiple sensors and the evaluation unit. It receives raw sensor detection information, processes and derives environmental indices from this data, and then provides the processed information to the evaluation unit. This intermediary layer simplifies the system architecture by consolidating sensor data processing in one dedicated component
Data Source
AI summary
An information-processing device of the present invention includes an acquisition unit that acquires sensor detection information indicating a detection result from a sensor mounted in a vehicle, a derivation unit that derives a plurality of indices for a surrounding environment based on the sensor detection information acquired by the acquisition unit, and an evaluation unit that evaluates attribute information of a point at which the sensor detection information is acquired based on the plurality of indices derived by the derivation unit.