Autonomous Vehicle Traffic Light Selection by Position and Heading
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Solution Overview
Problem
Existing autonomous vehicle systems struggle to accurately and timely process traffic light information at intersections based on the vehicle's position and heading direction, leading to inefficiencies in navigation.
Innovation Solution
An apparatus and method that utilize a positioning module to detect the vehicle's position and heading, a navigation module to select intersections of interest, and a signal processing module to process traffic light information from V2I messages, considering vehicle speed and distance to the intersection stop line, to provide optimal signal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the autonomous vehicle processes all traffic light information from V2I messages, then the completeness of traffic light information is improved, but the processing time and computational load increase
Solution Approach 1:
The patent extracts only the relevant traffic light information needed for the autonomous vehicle's current navigation path. The navigation module identifies intersections of interest based on the vehicle's position and heading, then the signal processing module selectively processes only traffic light data for those specific intersections, filtering out unnecessary information from other locations.
Solution Approach 2:
The patent applies local quality by focusing processing resources on specific local areas (intersections of interest) rather than uniformly processing all traffic light information. The system determines which intersections are relevant based on the vehicle's current position and planned route, then prioritizes processing of traffic light data for those specific locations.
2Productivity
If the autonomous vehicle selects traffic light information based on position and heading direction, then the processing efficiency is improved, but the accuracy of selecting the correct intersection may deteriorate
Solution Approach 1:
The patent employs feedback mechanisms where the positioning module continuously provides position and heading information to the navigation module, which then refines the selection of intersections of interest. The system uses this feedback loop to continuously update and refine which intersections are considered relevant, ensuring accurate selection while maintaining efficient processing.
Solution Approach 2:
The patent applies dynamics by making the selection of intersections of interest adaptive and dynamic based on the vehicle's real-time position and heading direction. Rather than using fixed criteria, the system dynamically adjusts which intersections are processed based on current vehicle state, allowing efficient processing while maintaining accuracy through continuous adaptation.
3Device complexity
If the threshold for selecting traffic light information is fixed, then the processing logic is simplified, but the adaptability to different vehicle speeds deteriorates
Solution Approach 1:
The patent makes the threshold dynamic by adjusting it based on the vehicle's current speed. When the vehicle is moving faster, the threshold for selecting traffic light information is adjusted accordingly, allowing the system to process information at appropriate intervals for different speed conditions. This dynamic adjustment maintains processing efficiency while adapting to varying operational conditions.
Solution Approach 2:
The patent changes the threshold parameter based on vehicle speed conditions. Rather than using a fixed threshold value, the system adjusts the threshold parameter dynamically according to the vehicle's speed, enabling the processing logic to adapt to different operating conditions while maintaining relatively simple processing architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and timely determination of traffic light information at intersections, enhancing navigation efficiency by optimizing signal acquisition based on vehicle speed and proximity to the stop line.
Implementation Method 1
The positioning module detects the position and the heading direction of the autonomous vehicle based on a Global Navigation Satellite System (GNSS) signal
Data Source
AI summary
The present disclosure relates to an apparatus and a method of processing traffic light information for an autonomous vehicle, which selectively receive and process signal information of an intersection of interest based on a position and a heading direction of the autonomous vehicle, and the apparatus includes: a positioning module 101 to detect a position and a heading direction of an autonomous vehicle 200; a navigation module 102 for selecting an intersection of interest based on the position and the heading direction of the autonomous vehicle 200; and a signal processing module 103 for selecting traffic light information of the intersection of interest from a V2I message, and selecting signal information for a directional signal of interest corresponding to a direction of travel of the autonomous vehicle at the intersection of interest from the traffic light information.