Evasion Trajectory Optimization Using Transverse-Dynamic Quality Factors
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Solution Overview
Problem
Average motor vehicle drivers often struggle with evading obstacles by inappropriate steering maneuvers, leading to collisions or instability, as existing safety systems either override driver control or lack optimization criteria for evasion trajectories.
Innovation Solution
A method for determining an optimized evasion trajectory for lane change and evasion assistance systems, using transverse-dynamic quality factors to calculate a trajectory that minimizes transverse acceleration and jerk, with adjustable weighting parameters based on friction and time to collision, allowing driver control while enhancing maneuver safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a safety system automatically establishes an evasion course and takes control away from the driver, then collision prevention is improved, but driver control and ease of operation deteriorate
Solution Approach 1:
The safety system acts as an intermediary by providing guidance signals (steering torques, haptic signals, or additional steering angles) rather than fully overriding driver control. The driver retains final authority to override the system, creating a collaborative relationship between human and machine that improves collision prevention while preserving driver control.
2Loss of time
If steering intervention is applied too late or too quickly, then response time is reduced, but maneuver stability and reliability deteriorate
Solution Approach 1:
The evasion trajectory is dynamically optimized by adjusting weighting parameters in the quality factor function based on current driving conditions, including time to collision and road friction. This allows the system to adapt the timing and aggressiveness of steering interventions in real-time, achieving rapid response when necessary while maintaining maneuver stability through condition-appropriate parameter selection.
3Reliability
If an optimized evasion trajectory is calculated using transverse-dynamic quality factors, then maneuver quality and reliability are improved, but device complexity and computational requirements worsen
Solution Approach 1:
The patent replaces complex mechanical trial-and-error approaches with a mathematical optimization model using transverse-dynamic quality factors. By formulating the evasion trajectory calculation as an optimization problem with defined objective functions and constraints, the system achieves high maneuver quality through computational algorithms rather than mechanical complexity, leveraging software-based solutions to reduce hardware complexity.
Data Source
AI summary
A method for determination of an optimized evasion trajectory by a safety device or a safety system, in particular a lane change assistance system and/or evasion assistance system, of a motor vehicle, the optimized evasion trajectory being outputted to a vehicle driver, and/or a trajectory of the motor vehicle being optionally partially adapted to the optimized evasion trajectory, by way of the method, the optimized evasion trajectory being determined by optimization of a transverse-dynamic quality factor (J), for which a transverse acceleration (a) and/or a transverse jerk ({dot over (a)}) of the motor vehicle is/are utilized. Also described is a safety device or a safety system, in particular to a lane change assistance system and/or an evasion assistance system for a motor vehicle, a method being executable and/or being executed by the safety device or the safety system.