Vehicle Trajectory Control Using Shared Route Quality Data
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Solution Overview
Problem
Lane departure warning systems in motor vehicles face challenges in determining trajectories accurately, especially under poor light conditions or with outdated map data, which can lead to unreliable control and safety issues.
Innovation Solution
A method where multiple vehicles share their trajectories and quality assessments based on map data, allowing for improved route determination and control by weighting higher-quality route information, particularly in areas with high curvature, and integrating sensor data for accurate navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical scanning is used to determine trajectory, then the system can detect lane markings and determine a trajectory, but under poor light conditions or when lane markings are missing, the scanning becomes difficult and the trajectory determination becomes unreliable
Solution Approach 1:
The patent combines multiple information sources (optical scanning data, map data, and trajectory data from multiple vehicles) to determine the route course. This merging compensates for the weaknesses of individual methods - optical scanning fails in poor conditions, map data may be outdated, but together they provide reliable trajectory determination even when lane markings are missing or light conditions are poor.
Solution Approach 2:
The patent introduces map data as an intermediary reference to verify and supplement optical scanning results. By comparing detected trajectories with pre-stored map data, the system can identify when optical scanning fails and switch to or supplement with map-based route information, maintaining reliability under varying conditions.
2Measurement precision
If map data is used to determine the route course, then the trajectory can be determined in improved ways, but highly accurate and up-to-date map data are required which may not be available on board the motor vehicle
Solution Approach 1:
The patent makes the onboard navigation system serve multiple functions - it not only provides navigation guidance but also stores and supplies map data for trajectory determination and verification. This multi-functionality ensures that map data is available for safety-critical trajectory determination without requiring separate dedicated systems.
Solution Approach 2:
The system uses feedback from multiple vehicles traveling the same route to update and improve the route course determination. Trajectory data from multiple vehicles is aggregated and used to refine the expected route course, compensating for limitations in the onboard map data and improving accuracy over time.
3Measurement precision
If trajectory data from multiple vehicles is collected and processed, then the route course can be determined with higher accuracy, but the system complexity increases due to data aggregation and quality assessment requirements
Solution Approach 1:
The patent applies local quality assessment by evaluating the quality of trajectory data individually for each vehicle and each route section. Instead of uniformly processing all data, the system assesses quality locally and weights or discards data accordingly, simplifying the overall processing by focusing computational resources on high-quality data sources.
Solution Approach 2:
The system changes parameters dynamically - it adjusts the weight given to different data sources (optical scanning vs. map data vs. other vehicles' trajectories) based on current conditions such as light level, presence of lane markings, and data quality assessments. This parameter adaptation simplifies decision-making by automatically selecting the most reliable data source for each situation.
Data Source
AI summary
Embodiments relate to a method and apparatus for controlling a motor vehicle. The method comprises the steps of detecting a first trajectory of a first motor vehicle while traveling a predetermined route; determining a course of the predetermined route based on predetermined map data; determining a quality to which the trajectory and the course correspond; and transmitting the quality to a second motor vehicle. On board a second motor vehicle, a course of a predetermined route may be determined on the basis of predetermined map data; a quality associated with the course may be detected; an environment of the second motor vehicle may be scanned; a second trajectory may be determined by merging the course with the scan; and the second motor vehicle may be controlled to follow the second trajectory.