Sliding Mode Trajectory Voting for Intelligent Driving Control
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Solution Overview
Problem
Current vehicle safety technologies lack an effective intelligent driving control system that can integrate real-time environmental data and driver behavior to provide optimal path orientation and automatic control, especially in complex road conditions and obstacle avoidance scenarios.
Innovation Solution
A sliding mode trajectory voting strategy module and driving control system that combines fuzzification, fuzzy inference, and defuzzification interfaces to analyze road curvature and risk assessment information, using sliding mode control theory to integrate reaction time and relative distance into an obstacle feature sliding surface, and outputs a driver behavior command for safe path orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional vehicle safety systems use passive assist devices and basic active assist devices, then vehicle safety is improved, but the system lacks intelligent driving control capability and cannot provide optimal path orientation
Solution Approach 1:
The patent combines passive assist devices, active assist devices, and intelligent driving control systems into a unified vehicle safety system. The control system integrates environmental sensing, driver behavior detection, and trajectory voting strategy modules to provide both safety functions and intelligent path orientation capabilities simultaneously.
Solution Approach 2:
The driving control system is designed to perform multiple functions: it monitors environmental conditions, detects driver behavior, calculates safe paths using trajectory voting, and provides both passive and active safety assistance. This multi-functional system addresses both traditional safety needs and modern intelligent driving requirements.
2Adaptability or versatility
If the system integrates real-time environmental data and driver behavior analysis for optimal path orientation, then intelligent driving control capability is improved, but calculation complexity increases
Solution Approach 1:
The patent divides the complex calculation process into modular components: environmental sensing module, driver behavior detection module, trajectory voting strategy module, and path calculation module. Each module handles specific tasks independently, reducing overall system complexity while maintaining intelligent driving control capability.
Solution Approach 2:
The trajectory voting strategy module acts as an intermediary that processes environmental data and driver behavior information before generating path orientation commands. This intermediate processing layer simplifies the overall calculation by breaking down complex real-time decision-making into manageable voting and selection operations.
3Measurement precision
If the system uses comprehensive trajectory voting strategy with sliding mode control, then path orientation accuracy is improved, but reaction time may increase
Solution Approach 1:
The system performs preliminary calculations of safe paths and stores trajectory options in advance using the trajectory voting strategy module. When real-time path orientation is needed, the system selects from pre-calculated options rather than computing from scratch, thereby maintaining high accuracy while reducing reaction time.
Solution Approach 2:
The sliding mode control theory enables the system to dynamically adjust path orientation based on real-time conditions. The control algorithm adapts to changing environmental and driver behavior data, providing accurate path orientation while maintaining fast response through dynamic rather than static calculation approaches.
4Reliability
If the system processes multiple parameters including road curvature, obstacle features, and driver behavior, then path safety is improved, but system complexity increases
Solution Approach 1:
The patent segments the processing of multiple parameters into distinct functional modules: road curvature analysis, obstacle feature detection, driver behavior monitoring, and trajectory voting. Each module processes specific parameters independently, then integrates results to ensure path safety without requiring a monolithic complex system.
Data Source
AI summary
The present invention provided a sliding mode trajectory voting strategy module. The sliding mode trajectory voting strategy module integrates a reaction time and a relative distance into an obstacle feature sliding surface by utilize sliding mode control theory, and calculates the obstacle feature sliding surface and a road curvature value in combination with fuzzy theory to obtain an orientation angle of a safety path.