Vehicle Lane Centering via Environmental Sensor Feedback
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Solution Overview
Problem
Existing vehicle steering systems face inaccuracies due to drift effects in MEMS-based inertial sensors and external forces not measured by steering angle sensors, leading to systemic errors in predicting vehicle position, especially in vehicles with mechanical play or dynamic steering configurations.
Innovation Solution
An automated steering system that combines environmental sensing with motion sensors, using an electronic controller to receive and process data from electromagnetic radiation sensors, motion sensors, and steering systems to determine and correct the vehicle's position, and calibrate the motion sensors based on differences between predicted and current positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If MEMS-based inertial sensors are used to predict vehicle motion, then the system can operate autonomously without external references, but drift effects cause the sensors to lose accuracy over time
Solution Approach 1:
The system uses environmental features (lane markings, road edges, curbs) detected by electromagnetic radiation sensors as feedback to continuously correct and update the predicted vehicle position, compensating for drift in MEMS inertial sensors over time
Solution Approach 2:
The patent combines inertial measurement unit (IMU) data from MEMS sensors with environmental sensing data from electromagnetic radiation sensors to create a hybrid positioning system that leverages the autonomy of inertial navigation with the accuracy of environmental reference
2Measurement precision
If steering angle sensors are used to predict vehicle position, then the system can determine lateral motion, but external forces not measured by the sensor cause systemic error
Solution Approach 1:
The system compares the predicted vehicle position from steering angle sensing with the actual position derived from environmental features, using the difference as feedback to correct systematic errors from unmeasured external forces
3Adaptability or versatility
If mechanical play or dynamic steering configuration changes are present, then the vehicle can adapt to different driving conditions, but the sensed steering angle becomes inaccurate
Solution Approach 1:
The patent replaces reliance on mechanical steering angle sensing with an environmental reference-based positioning system that uses electromagnetic radiation sensors to detect lane markings and road features, substituting mechanical measurement with optical/environmental sensing
4Measurement precision
If environmental sensing is combined with motion sensors to correct predicted position, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The electromagnetic radiation sensors serve multiple functions: detecting environmental features for position correction, identifying lane markings for navigation, and providing feedback for motion prediction, reducing the need for separate dedicated correction systems
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
This approach enables robust control and accurate centering of vehicles in lanes by correcting for system errors and adapting to dynamic mechanical changes, improving the precision of vehicle motion prediction and control.
Implementation Method 1
an electromagnetic radiation sensor, a motion sensor
Data Source
AI summary
A method and system for centering a vehicle in a lane. The system includes an electromagnetic radiation sensor, a motion sensor, a steering system, and an electronic controller. The electronic controller is configured to receive environmental information regarding an environment external to the vehicle from the electromagnetic radiation sensor and to receive a first motion of the vehicle from the motion sensor. The electronic controller is also configured to determine a predicted position of the vehicle based the first motion of the vehicle and the environmental information, store the predicted position, compare the predicted position to a desired position of the vehicle to generate and send a corrective signal to the steering system. The electronic controller is further configured to determine a current position of the vehicle, compare the current position with the predicted position to generate a difference, and calibrate the motion sensor based on the difference.


