Autonomous Vehicle Trajectory Display Overlap Resolution
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Solution Overview
Problem
Existing user interfaces for autonomous vehicles face complexity when displaying multiple predicted trajectories of ego-vehicles and road agents in a driver's perspective view, leading to cluttered and confusing displays, especially when trajectories overlap or are close to each other.
Innovation Solution
A system and method that utilize processors and memory to generate and modify predicted trajectories, including removing overlaps, changing colors, spacing, or thickness, and prioritizing trajectories based on proximity to the ego-vehicle, to simplify the display and improve clarity on user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple road agent trajectories are displayed on the user interface, then the information completeness is improved, but the display complexity increases and becomes overly complicated
Solution Approach 1:
The patent extracts and removes overlapping trajectory segments from the display, keeping only the necessary portions of each trajectory visible. This eliminates redundant visual information while preserving the essential predictive data about road agent movements, directly resolving the contradiction between information completeness and display complexity.
Solution Approach 2:
The system proactively identifies and prevents trajectory overlaps before they occur on the display by adjusting trajectory rendering priorities and visibilities. This preliminary action avoids the harmful effect of cluttered displays while maintaining complete trajectory information, addressing the contradiction between information completeness and display simplicity.
2Loss of information
If multiple predicted trajectories are displayed in driver's perspective view, then the trajectory information is provided, but the display becomes cluttered and harder to understand
Solution Approach 1:
The patent applies different display qualities to different trajectory segments based on their spatial relationships. Non-overlapping segments are displayed with full visibility and standard styling, while overlapping segments are selectively modified or hidden. This local differentiation maintains trajectory information completeness while improving overall display clarity and ease of understanding.
Solution Approach 2:
The system uses color variations to differentiate between multiple trajectories and their visibility states. Trajectories may be displayed in different colors or with different opacity levels based on their overlap status and priority, allowing drivers to distinguish between multiple road agents while reducing visual clutter and improving ease of understanding.
Data Source
AI summary
Systems and methods are provided for generating trajectories for a vehicle user interface showing a driver's perspective view. Methods include generating an ego-vehicle predicted trajectory for an ego-vehicle; and generating at least one road agent predicted trajectory for a road agent that is external to the ego-vehicle. After the predicted trajectories are generated, the method continues by determining that at least two predicted trajectories overlap when displayed on the user interface showing a driver's perspective view, when displayed on the user interface showing a driver's perspective view. The method includes modifying the at least one road agent predicted trajectory to remove the overlap. The method then proceeds with updating a display of the user interface to include any modified road agent predicted trajectory. Systems include a trajectory-prediction module to execute the methods.