Automated Driving System Detecting Lane Cut-Out Maneuvers
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Solution Overview
Problem
Current autonomous and semi-autonomous vehicle systems, such as adaptive cruise control (ACC), lack the capability to accurately determine when a host vehicle or a target vehicle is performing a lane change, leading to inadequate control of acceleration and potentially compromising safety and passenger experience.
Innovation Solution
The system employs automated driving sensors to gather target vehicle and lane marking readings, predicting and determining lane cutout maneuvers based on relative lateral positions and distances, and adjusts the host vehicle's acceleration accordingly to mimic human driving behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current ACC systems use sensors to track target vehicle and determine relative position, then safe following distance can be maintained, but the system cannot accurately determine whether lane change is being performed by host vehicle or target vehicle
Solution Approach 1:
The patent transitions from one-dimensional longitudinal relative position measurement to two-dimensional spatial analysis by incorporating lateral position measurements. The system now measures both the longitudinal distance between vehicles and the lateral distance from lane markings, enabling detection of lane change maneuvers in the lateral dimension while maintaining longitudinal following distance control.
2Reliability
If the system lacks lane change detection capability, then the ACC system operates simply based on longitudinal distance, but acceleration control during lane changes is inadequate and compromises safety
Solution Approach 1:
The system performs preliminary detection of lane change maneuvers by monitoring lateral position changes before the lane change is complete. By detecting the intent and progression of lane change maneuvers early, the system can prepare appropriate acceleration control responses in advance, ensuring safety throughout the entire lane change process rather than reacting only after the maneuver is complete.
3Ease of operation
If the system cannot identify which vehicle is cutting out, then the control logic remains simple, but the passenger experience and system responsiveness to lane changes deteriorate
Solution Approach 1:
The patent segments the lane change detection problem into distinct scenarios: host vehicle lane change, target vehicle lane change, and both vehicles changing lanes simultaneously. By dividing the complex control problem into these discrete cases, the system can apply specific control logic to each scenario while maintaining overall system simplicity. Each segment is handled with dedicated detection and control rules.
Data Source
AI summary
The methods and system described herein may be used to assist an automated driving system of a host vehicle. The methods and system may, in an exemplary embodiment, be used to determine whether a host vehicle or a target vehicle is cutting out and, accordingly, control the acceleration and/or other driving features of the host vehicle. Generally, the methods described herein contain the steps of determining that a vehicle is cutting out, determining which vehicle is cutting out, and then controlling the acceleration of the host vehicle based on the previous determinations. The determination of which vehicle is cutting out is made based on readings gathered by the host vehicle from one or more automated driving sensors. By using target vehicle sensor data in conjunction with lane marking sensor data, the host vehicle can determine, not only that a vehicle is cutting out, but which vehicle(s) are cutting out.