Vehicle Lane Boundary Control for Collision-Avoidance Steering
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Solution Overview
Problem
Current vehicle navigation systems face challenges in efficiently maintaining lane position and avoiding collisions, particularly when dealing with changes in roadway curvature and movement of adjacent vehicles, as they require extensive data and computational resources.
Innovation Solution
A system utilizing a computer with sensors to identify virtual boundaries and determine constraint values based on vehicle and target vehicle velocities and accelerations, using a minimized cost function to output prescribed steering and propulsion inputs, thereby actuating vehicle components to maintain lane position and avoid collisions with fewer data and computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current vehicle navigation systems use traditional methods to maintain lane position and avoid collisions, then detection accuracy is maintained, but computational resources and data requirements increase significantly
Solution Approach 1:
The patent segments the continuous roadway into discrete sections with virtual boundaries, allowing the system to process lane position information in manageable segments rather than continuously, reducing computational load while maintaining detection accuracy
Solution Approach 2:
The system pre-calculates virtual boundaries and constraint values before they are needed for collision avoidance decisions, enabling faster real-time responses without increasing computational complexity during critical moments
2Reliability
If vehicle systems process extensive data to maintain lane position and avoid collisions, then safety is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent extracts only the essential parameters needed for lane position maintenance and collision avoidance (virtual boundary positions, constraint values) from the full sensor data set, eliminating unnecessary data processing while preserving safety-critical information
Solution Approach 2:
The system transforms raw sensor data into simplified parameter representations (constraint values, virtual boundary definitions) that capture the essential safety information in a more compact and computationally efficient form
Data Source
AI summary
A computer is programmed to identify first and second virtual boundaries of a roadway lane based on a predicted boundary between the roadway lane and an adjacent roadway lane, determine a first constraint value based on a first virtual boundary approach acceleration, determine a second constraint value based on a second virtual boundary approach acceleration, output a prescribed steering angle, brake input, and propulsion input when one of the constraint values violates a respective threshold, and actuate components to attain the prescribed steering angle, brake input, and propulsion input. The first virtual boundary approach acceleration is based on a steering wheel angle of a vehicle and input to one of a brake or a propulsion of the vehicle. The second virtual boundary approach acceleration is based on a steering wheel angle of the vehicle and input to one of a brake or a propulsion of the vehicle.