Autonomous Vehicle Usage Evaluation via Trip, Power, and Driver Data
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Solution Overview
Problem
There is currently no technology to effectively evaluate vehicles in automatic driving mode, making it difficult to timely and intuitively assess the overall situation, which hinders management and usage optimization.
Innovation Solution
A method and apparatus for evaluating vehicles in automatic driving mode by analyzing driving information, including trip information, power consumption, and driver state, using in-vehicle cameras, driving computers, and GPS systems to determine usage situations such as time saving, power consumption saving, and driver relax degree, and presenting the results to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If no evaluation technology is implemented for automatic driving mode, then the system remains simple and uncomplexed, but the ability to assess vehicle usage situation, time saving, power consumption saving, and driver state is lost
Solution Approach 1:
The evaluation system integrates multiple evaluation functions into a single comprehensive platform that simultaneously assesses vehicle usage situation, time saving, power consumption saving, and driver state. The processing module performs diverse evaluation tasks using unified data from sensors, cameras, and vehicle systems, making the system multi-functional rather than requiring separate specialized systems for each evaluation aspect.
Solution Approach 2:
The evaluation system is divided into distinct functional modules: data acquisition module that collects information from various sources, processing module that performs specific evaluations, and output module that presents results. This segmentation allows each module to handle specific tasks independently, making the overall complex system manageable and maintainable while still providing comprehensive evaluation capabilities.
2Measurement precision
If comprehensive driving information is collected and analyzed, then the evaluation accuracy and completeness is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data processing and filtering during the data acquisition phase, preparing information in advance for the evaluation phase. By pre-processing data from sensors and cameras, organizing it into relevant categories, and filtering out unnecessary information beforehand, the system reduces the computational burden during actual evaluation, thus maintaining high accuracy while reducing processing time.
Solution Approach 2:
The evaluation system focuses on evaluating only the most critical aspects of vehicle operation and driver state that are essential for safety and efficiency. Rather than attempting to analyze every single data point with equal depth, the system applies partial evaluation to less critical parameters while performing more detailed analysis on key metrics such as driver fatigue indicators and immediate safety concerns, thus balancing accuracy with processing efficiency.
Data Source
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AI summary
According to embodiments of the present disclosure, a method and an apparatus for evaluating a vehicle, a device and a computer readable storage medium are provided. The method includes: determining driving information of the vehicle in an automatic driving mode, the driving information including at least one of trip information, power consumption information and driver state of the vehicle in the automatic driving mode; determining usage situation of the vehicle in the automatic driving mode based on the driving information; and providing the usage situation of the vehicle.