Autonomous Vehicle Response to Malfunctioning Traffic Lights
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating intersections with malfunctioning traffic signals, which can lead to unsafe conditions or inability to proceed due to unclear or inconsistent signal states.
Innovation Solution
The system employs a traffic signal detection system that utilizes multiple inputs, including camera images and sensor data, to detect anomalies in traffic signals by applying heuristics and rules, classifies the anomaly type, and adjusts vehicle control strategies accordingly to ensure safe navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle uses standard traffic signal detection methods, then the vehicle can normally navigate intersections, but the vehicle cannot safely respond to malfunctioning traffic signals
Solution Approach 1:
The system dynamically adapts its detection and response strategies based on the detected anomaly type. Different anomaly classifications (e.g., stuck red light, stuck green light, missing traffic signal) trigger different vehicle response behaviors, allowing the system to flexibly handle various malfunction scenarios rather than using a fixed response protocol
Solution Approach 2:
The system introduces an intermediary anomaly detection and classification layer between the standard traffic signal detection and the vehicle control system. This intermediary layer processes sensor data, identifies anomalies, classifies them, and generates appropriate response commands, bridging the gap between normal detection methods and safe response to malfunctioning signals
2Reliability
If the vehicle stops at every intersection to verify traffic signal status, then the vehicle can ensure safety, but the vehicle loses productivity and efficiency
Solution Approach 1:
Instead of stopping at every intersection, the system applies partial verification actions only when anomalies are detected. The system performs full safety checks selectively based on anomaly presence, while allowing normal flow through intersections when no anomalies are detected, thus maintaining productivity while ensuring safety when needed
Solution Approach 2:
The system continuously monitors traffic signal status and provides feedback to the control system. When the feedback indicates normal operation, the vehicle proceeds without stopping. When feedback indicates an anomaly, the system triggers appropriate safety responses, creating a feedback-driven adaptive control mechanism that balances safety and efficiency
3Productivity
If the vehicle proceeds through intersections without stopping, then the vehicle maintains productivity, but the vehicle cannot ensure safety when traffic signals are malfunctioning
Solution Approach 1:
The system performs preliminary anomaly detection and classification before the vehicle reaches the intersection. By identifying and classifying traffic signal anomalies in advance, the system can prepare appropriate response strategies ahead of time, allowing the vehicle to maintain normal speed while still ensuring safety through pre-planned corrective actions
Data Source
AI summary
Aspects of the disclosure relate to detecting and responding to malfunctioning traffic signals for a vehicle having an autonomous driving mode. For instance, information identifying a detected state of a traffic signal for an intersection. An anomaly for the traffic signal may be detected based on the detected state and prestored information about expected states of the traffic signal. The vehicle may be controlled in the autonomous driving mode based on the detected anomaly.