Vehicle Travel Control Using Road Pattern Behavior Prediction
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Solution Overview
Problem
Existing travel control systems cannot predict the future behavior of surrounding vehicles based on patterns drawn on the road surface, leading to inadequate control of host vehicle travel and insufficient improvement in travel safety.
Innovation Solution
A travel control device equipped with a processor that performs image recognition of patterns drawn on the road surface by light from surrounding vehicles, predicts the behavior of these vehicles, and controls the host vehicle's travel accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the host vehicle uses conventional sensing systems to detect surrounding vehicles, then the system can detect current vehicle positions, but it cannot predict future behavior of surrounding vehicles based on road surface patterns
Solution Approach 1:
The system performs preliminary detection of road surface patterns (such as tire marks, skid marks, or other vehicular traces) that indicate future behavior intentions of surrounding vehicles. By analyzing these patterns before the actual behavior occurs, the host vehicle can anticipate and prepare for upcoming actions, thereby resolving the information loss about future vehicle behavior while improving travel safety through proactive response.
2Loss of time
If the host vehicle relies on real-time detection of surrounding vehicles, then the control system can respond to current positions, but it cannot anticipate future hazards effectively
Solution Approach 1:
The system analyzes road surface patterns in advance to predict future vehicle behaviors before hazards materialize. This preliminary analysis provides early warning signals that extend the response time available to the host vehicle, allowing the control system to prepare appropriate responses before actual hazards occur, thereby reducing effective response time loss while maintaining high reliability.
Solution Approach 2:
The system takes preliminary counter-actions based on predicted future behaviors of surrounding vehicles. By detecting road surface patterns that indicate intended maneuvers (such as turning, braking, or lane changes), the host vehicle can pre-adjust its trajectory, speed, or other parameters to prevent potential conflicts before they occur, effectively anticipating hazards and neutralizing them in advance.
3Adaptability or versatility
If the sensing system only detects visible vehicles, then the system structure remains simple, but it cannot utilize road surface patterns to improve prediction capabilities
Solution Approach 1:
The system enhances the existing sensing system's functionality by enabling it to perform multiple tasks: detecting visible vehicles, analyzing road surface patterns, and predicting future behaviors. By making the sensing system universal, it can process both direct visual information and indirect trace information from the road surface, thereby improving adaptability and prediction capabilities without requiring entirely separate detection systems.
Solution Approach 2:
The system introduces road surface patterns as an intermediary information source between the surrounding vehicles and the host vehicle's decision-making process. These patterns serve as mediators that carry information about vehicle intentions and future behaviors, allowing the sensing system to infer hidden information without directly observing the vehicles' future actions, thus enhancing adaptability while managing complexity through indirect information channels.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively improves travel safety by enabling the host vehicle to anticipate and respond to the behavior of surrounding vehicles, thereby enhancing its ability to avoid potential hazards.
Implementation Method 1
image recognition of a pattern drawn on a road surface by light irradiated from a surrounding vehicle
Data Source
AI summary
A travel control device includes an image recognition unit which performs image recognition of a pattern drawn on a road surface by light irradiated from a surrounding vehicle, a prediction unit which predicts behavior of the surrounding vehicle based on a result of the image recognition of the pattern, and a travel control unit which controls travel of a host vehicle based on the behavior of the surrounding vehicle.