Autonomous Trajectory Validation for Lateral Evasive Safety
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Solution Overview
Problem
Autonomous driving systems face challenges in validating trajectories generated by statistical models, which lack transparency and are difficult to analyze for safety, particularly in scenarios involving unsafe driving behaviors by other road users, leading to potential unsafe trajectories being deemed invalid even when they represent a best response to dangerous situations.
Innovation Solution
A method and apparatus that determine the validity of planned trajectories by assessing conditions such as lateral position and acceleration relative to other vehicles, ensuring safe distances and lane boundaries are maintained, and differentiating between unsafe and safe responses to unsafe driving scenarios, using a modified Responsibility-Sensitive Safety model that considers lateral evasive distances and lane boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If statistical models are used to generate trajectories, then the system can handle complex driving scenarios, but the trajectories become difficult to validate for safety
Solution Approach 1:
The patent introduces an intermediary validation system that acts as a mediator between the statistical model's trajectory output and the safety requirements. This validation system checks whether trajectories satisfy safety conditions (such as maintaining safe distances from other vehicles and avoiding lane boundary violations) without requiring changes to the underlying statistical model, thus resolving the contradiction between handling complex scenarios and ensuring safety validation.
2Reliability
If strict safety validation is applied to all trajectories, then unsafe trajectories are prevented, but valid trajectories representing best responses to unsafe driving are incorrectly invalidated
Solution Approach 1:
The patent applies local quality by differentiating between different types of trajectories and applying appropriate validation criteria. Instead of uniformly invalidating all trajectories that violate safety conditions, the system evaluates each trajectory's context - distinguishing between unsafe maneuvers and appropriate responses to unsafe driving by other road users. This allows the system to maintain reliability for genuine safety violations while preserving adaptability for legitimate defensive driving responses.
3Stability of the object's composition
If the system maintains strict lane boundary adherence, then lane discipline is improved, but safe evasive maneuvers are restricted
Solution Approach 1:
The patent implements dynamics by making lane boundary constraints conditional rather than fixed. The system allows temporary violations of lane boundaries when they represent safe evasive maneuvers to avoid collisions or other hazards. The validation logic dynamically assesses whether a lane boundary crossing is appropriate based on the driving context, thus resolving the contradiction between maintaining lane discipline and enabling necessary safety maneuvers.
Data Source
Figure 1A~1B
Figure 2A
Figure 2B
AI summary
A method of determining whether a planned trajectory of a first vehicle over a road along which the first vehicle and a second vehicle are travelling, is invalid, comprising: obtaining (S41) the planned trajectory, comprising a first state of the first vehicle for each of a plurality of time instants; obtaining (S42) a second state of the second vehicle for each time instant; determining (S43), for each time instant, a respective lateral range extending from the second vehicle; and determining (S44) that the planned trajectory is invalid where, for the first and second states at one or more of the time instants: the first vehicle is within the lateral range and within a lane boundary region of the road; and a direction of a lateral velocity of the first vehicle is towards the second vehicle and a lateral acceleration of the first vehicle away from the second vehicle is smaller than a predetermined threshold.