Automated Vehicle Steering Control with Lane Position Bias
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Solution Overview
Problem
Automated vehicles face challenges in predicting and responding to erratic driving behaviors of human-operated vehicles, particularly when the projected path of an approaching vehicle threatens to come closer than a certain distance threshold, requiring adaptive steering and speed adjustments to maintain safety.
Innovation Solution
A steering-control system for automated vehicles equipped with an object-detector and controller that steers the vehicle towards a centered or biased position in the lane and adjusts speed to maintain a safe distance, using sensors like cameras, radar, and V2X communications to detect approaching vehicles and road boundaries, and intervene when necessary to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the automated vehicle maintains a centered position in the lane, then the vehicle follows a predictable and stable path, but the safety distance to approaching human-operated vehicles cannot be adequately maintained when they exhibit erratic driving behaviors
Solution Approach 1:
The system dynamically adjusts the vehicle's lateral position within the lane based on real-time detection of approaching vehicles. When a human-operated vehicle is detected with erratic behavior patterns, the controller automatically shifts the host vehicle to a biased position (e.g., toward the left or right side of the lane) to increase lateral separation distance, thereby reducing collision risk while maintaining lane discipline
Solution Approach 2:
The system continuously monitors the lateral position and trajectory of approaching vehicles using sensors and object detection algorithms. Based on this feedback, the controller determines whether to maintain centered position or shift to a biased position, creating a closed-loop control system that adapts to changing traffic conditions and human driver behaviors
2Object-affected harmful factors
If the automated vehicle shifts to a biased position to avoid approaching vehicles, then the safety distance is increased, but the vehicle deviates from the centered lane position which may affect normal traffic flow
Solution Approach 1:
The system implements dynamic lane positioning that transitions between centered and biased positions based on real-time risk assessment. When no erratic vehicles are detected, the vehicle returns to the centered position for stable lane keeping. When risk is detected, it shifts to biased positions to maximize safety margins, creating a flexible positioning strategy that balances safety and normal operation
Solution Approach 2:
The system proactively shifts to biased positions before a potential collision occurs, based on predicted trajectories of approaching vehicles. By anticipating the erratic behavior of human-operated vehicles and pre-positioning the host vehicle to avoid the conflict zone, the system prevents harmful interactions before they materialize
3Productivity
If the automated vehicle maintains constant speed, then the vehicle operation is simple and efficient, but it cannot adequately respond to rapidly approaching erratic vehicles
Solution Approach 1:
The system dynamically adjusts vehicle speed based on the detected risk level and proximity of approaching vehicles. When erratic vehicles are detected at close range, the controller automatically reduces speed or applies braking to increase stopping distance and prevent collisions. This dynamic speed control complements the lateral positioning adjustments to provide comprehensive safety responses
Solution Approach 2:
The system uses sensor feedback to continuously monitor the relative distance and closing speed of approaching vehicles. Based on this information, the controller adjusts the host vehicle's speed in real-time, creating a responsive safety system that adapts to changing traffic conditions while maintaining efficient operation during normal conditions
Data Source
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Figure 2
AI summary
A steering-control system (10) for an automated vehicle includes an object-detector (20) and a controller (22). The object-detector (20) is suitable for use on a host-vehicle (12). The object-detector (20) is used to detect an other-vehicle (18) approaching the host-vehicle (12), and to detect a stationary-object (42) that defines a roadway (40) traveled by the host-vehicle (12). The controller (22) is in communication with the object-detector (20) and adapted to operate the host-vehicle (12). The controller (22) is configured to steer the host-vehicle (12) towards a centered-position (60) of a travel-lane (38) of the roadway (40) when a projected-path (62) of the other-vehicle (18) approaches the host-vehicle (12) to a minimum-distance (64) between the other-vehicle (18) and the host-vehicle (12) greater than a distance-threshold (66). The controller (22) is also configured to steer the host-vehicle (12) towards a biased-position (68) of the travel-lane (38) to increase the minimum-distance (64) when the projected-path (62) approaches the host-vehicle (12) to less than the distance-threshold (66) if the host-vehicle (12) remains in the centered-position (60).