Autonomous Driving Traffic Light Error Handling With Vehicle Cross-Check
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Solution Overview
Problem
Conventional autonomous driving systems face difficulties in determining reliable traffic light information when errors occur, leading to potential accidents and traffic obstruction, as they struggle to differentiate between camera-recognized and V2X-received information for the same traffic light.
Innovation Solution
An autonomous driving control apparatus and method that utilizes multiple sources of traffic light information, including a camera and V2X communication, to determine errors by comparing data and acquiring information from nearby vehicles, allowing for path re-routing around intersections rather than unconditional stopping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving system uses multiple sources of traffic light information (camera and V2X), then the reliability of traffic light information determination is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple traffic light information acquisition methods (camera recognition and V2X communication) into a unified determination system. The controller integrates information from both sources and uses comparison logic to identify errors, thereby improving reliability while managing system complexity through unified processing.
Solution Approach 2:
The controller acts as an intermediary that receives traffic light information from multiple sources (camera and V2X), compares the information, determines errors, and selects reliable information. This intermediary processing layer manages the complexity by providing a centralized decision-making point.
2Reliability
If the autonomous driving system unconditionally stops when traffic light information error occurs, then the safety is improved, but the traffic flow is obstructed
Solution Approach 1:
The system uses feedback from multiple information sources to determine whether to stop or bypass. When traffic light information from camera and V2X differs, the system checks for nearby vehicles and uses their information as feedback to make an informed decision, rather than unconditionally stopping.
Solution Approach 2:
The system dynamically adjusts its response based on the situation. Instead of a fixed stop action, the controller evaluates the error situation, checks for nearby vehicles, and dynamically selects between stopping and bypassing based on the available information and environmental context.
3Measurement precision
If the autonomous driving system checks for nearby vehicles and acquires their traffic light information, then the measurement precision of traffic light status is improved, but the time required for error determination increases
Solution Approach 1:
The system performs preliminary checks for nearby vehicles when traffic light information error is detected. By proactively seeking additional information from nearby vehicles, the system improves measurement precision while managing time loss through targeted information gathering rather than exhaustive searching.
Data Source
AI summary
An autonomous driving control method and apparatus of preventing accidents due to erroneous traffic light information during autonomous driving, may include determining an error of a traffic light by determining whether a first traffic light information item and a second traffic light information item that are acquired using different methods are different with respect to one traffic light, checking whether there is a nearby vehicle when determining the traffic light is erroneous, acquiring traffic light information from the nearby vehicle when there is the nearby vehicle, and controlling driving based on traffic light information acquired from the nearby vehicle.