Autonomous Driving Mode Transition for Cut-In Collision Avoidance
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Solution Overview
Problem
Autonomous driving vehicles face risks of sudden collisions due to intervening vehicles during manual driving mode transitions, causing unexpected steering wheel rotations that can injure drivers and create a sense of heterogeneity.
Innovation Solution
An autonomous driving controller determines the need for lane change and minimizes rotational steering by adjusting steering and braking controls to ensure safety, using partial braking and automated steering to avoid collisions while maintaining driver comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving vehicle transitions to autonomous driving mode when a vehicle cuts in during manual driving mode, then collision avoidance capability is improved, but driver comfort deteriorates due to sudden steering wheel rotation
Solution Approach 1:
The system performs partial autonomous driving mode transition rather than full transition. When a vehicle cuts in during manual driving mode, the system executes only the necessary collision avoidance maneuver (partial action) while maintaining manual driving mode, avoiding the abrupt full mode transition that causes sudden steering wheel rotation and driver discomfort.
Solution Approach 2:
The system dynamically adjusts the degree of autonomous intervention based on the severity of the collision risk. Instead of a fixed mode transition threshold, the system modulates the level of autonomous control activation, allowing smooth transition from manual to partial autonomous control, thereby reducing sudden steering inputs while maintaining collision avoidance effectiveness.
2Reliability
If the steering wheel is suddenly steered to avoid collision with a cutting-in vehicle, then collision risk is reduced, but driver injury risk increases due to sudden steering rotation
Solution Approach 1:
The system prepares cushioning measures before executing collision avoidance maneuvers. When a vehicle cuts in, the system first assesses the situation and then executes controlled steering inputs with built-in damping and rate limiting, rather than immediate full-steering-angle corrections. This beforehand cushioning prevents sudden steering wheel rotation that could injure the driver while maintaining collision avoidance capability.
3Reliability
If the system executes full autonomous driving mode transition logic, then collision avoidance effectiveness is improved, but system complexity increases
Solution Approach 1:
The system extracts only the essential collision avoidance functions from the full autonomous driving mode transition logic. Instead of implementing the complete autonomous driving control stack, the system isolates and activates only the specific steering and braking control algorithms needed for cut-in vehicle avoidance, thereby maintaining collision avoidance effectiveness while reducing system complexity.
Data Source
AI summary
A method for controlling a driving mode transition of an autonomous driving vehicle may safely perform a lane change to avoid a collision accident with the other vehicle and prevent an injury to a joint, etc., while minimizing a sense of heterogeneity of a driver according to minimization of rotational steering of a steering wheel by determining whether the other vehicle in a next lane suddenly cuts in in an autonomous driving controller while the autonomous driving vehicle is driving in a manual driving mode and determining a safety distance from a rear vehicle to minimize rotational steering of the steering wheel held by the driver and at the same time perform partial braking control by autonomous driving mode transition control using an autonomous driving controller.