Wheel Angle Detection for Low-Speed Lane Change Prediction
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Solution Overview
Problem
Existing vehicle control systems overlook subtle forms of driver-to-driver communication, such as wheel angle, which are crucial for predicting lane changes, especially in low-speed scenarios, leading to inefficiencies and safety risks.
Innovation Solution
A vehicle control system that includes a wheel-turn detection mechanism using sensors like cameras, LIDAR, and RADAR to detect the wheel angle of other vehicles, combining this information with speed, turn signals, and road topology to predict lane change intentions and adjust vehicle operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated vehicle operation systems rely only on conventional sensor data (speed, position, acceleration), then the system complexity remains manageable, but the prediction accuracy of lane change intentions deteriorates
Solution Approach 1:
The patent uses wheel angle as an intermediary indicator to infer lane change intentions. Instead of directly detecting intent, the system measures the intermediate physical state (wheel rotation) that precedes and indicates the driver's intention to change lanes, thereby improving prediction accuracy without requiring complex direct intent detection systems
Solution Approach 2:
The system detects wheel angle changes that occur before the actual lane change maneuver is executed. By identifying this preliminary action (wheel turning) as an indicator of future lane change behavior, the system can prepare responses in advance, improving prediction accuracy while using simple angular measurement rather than complex behavioral analysis
2Reliability
If the vehicle control system incorporates multiple data sources including wheel angle detection, then the safety and prediction accuracy improve, but the device complexity increases
Solution Approach 1:
The patent makes the existing camera system multi-functional by enabling it to detect wheel angles in addition to its primary function of capturing road scenes. This allows the system to gather multiple types of information (lane markings, other vehicles, and wheel angles) using a single universal sensor platform, improving safety without proportionally increasing device complexity
Solution Approach 2:
The system merges wheel angle detection with existing vehicle operational data (speed, acceleration, position) into a unified analysis framework. By combining these data sources through a integrated processing system, the patent achieves improved safety and prediction accuracy while avoiding the complexity of completely separate detection and processing systems
3Loss of information
If the system detects and responds to subtle driver intentions like wheel angle, then the loss of information is reduced, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces subjective interpretation of driver intent with objective mechanical measurement of wheel angle. Instead of trying to understand or predict driver behavior through complex analysis, the system directly measures the physical state of the steering mechanism, converting an intangible information problem into a concrete measurement problem that can be solved with standard sensors
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
Enhances prediction accuracy and safety by accounting for subtle intentions of other drivers, improving vehicle operation efficiency and safety in low-speed and dense traffic situations.
Implementation Method 1
A vehicle control system that includes a wheel-turn detection mechanism using sensors like cameras, LIDAR, and RADAR to detect the wheel angle of other vehicles
Implementation Method 2
A vehicle control system that includes a wheel-turn detection mechanism using sensors like cameras, LIDAR, and RADAR to detect the wheel angle of other vehicles
Data Source
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AI summary
Systems, components, and methodologies are provided for improvements in operation of automotive vehicles by enabling monitoring analysis and reaction to subtle sources of information that aid in prediction and response of vehicle control systems across a range of automation levels. Such systems, components, and methodologies include wheel-turn detection equipment for detecting a wheel angle of another vehicle to trigger a vehicle control system to perform an operation based on the detected wheel angle of the other vehicle.