Driving Scene Determination via Sensor Threshold Comparison
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Solution Overview
Problem
Current vehicle technologies lack the ability to automatically determine driving scenes, which limits their adaptability and intelligence in adjusting vehicle control systems.
Innovation Solution
A method and apparatus that acquire and compare driving data from sensors such as light, speed, and positioning devices with preset thresholds to determine the current driving scene, enabling adaptive adjustments in vehicle systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle control systems use fixed control parameters, then system complexity is reduced, but adaptability to different driving scenes deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of control parameters based on real-time driving scene recognition. The vehicle control system transitions from fixed parameters to dynamically adjustable parameters that adapt to different driving conditions (highway, urban, parking scenes), resolving the contradiction between adaptability and system complexity by introducing scene-based parameter adjustment mechanisms
Solution Approach 2:
The system changes control parameters according to recognized driving scenes. By identifying the current driving scene type and selecting corresponding optimized parameters, the system achieves adaptability without requiring complex real-time optimization algorithms, thus balancing adaptability improvement with controlled system complexity
2Ease of operation
If manual adjustment of control parameters is required, then system complexity is reduced, but ease of operation deteriorates
Solution Approach 1:
The vehicle control system automatically performs scene recognition and parameter adjustment without requiring manual user input. The system serves itself by autonomously identifying driving scenes and selecting appropriate control parameters, thereby improving ease of operation while the automated processes manage the underlying system complexity
3Measurement precision
If simple collection components are used, then device complexity is reduced, but measurement precision of driving scenes deteriorates
Solution Approach 1:
The patent employs a light sensor that serves multiple functions: it detects both illumination intensity for basic lighting conditions and serves as part of the driving scene recognition system. By making collection components multi-functional, the system achieves improved scene recognition accuracy without proportionally increasing device complexity
Solution Approach 2:
The system uses existing vehicle sensors (light sensor, vehicle speed sensor, positioning device) beyond their primary functions for scene recognition. This partial utilization of sensor capabilities improves measurement precision while avoiding the need for dedicated complex sensing systems
Data Source
AI summary
A method and apparatus for determining driving scene, and a vehicle are provided. The method includes: acquiring current driving data collected by a preset collection component; comparing the current driving data with a preset driving data threshold; and determining a current driving scene according to a comparison result between the current driving data and the threshold.