Dual-View Traffic Light Detection With Sensor Cross-Checking
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Solution Overview
Problem
Autonomous vehicles face challenges in reliably detecting traffic lights, especially when the front view traffic light detection system malfunctions or is unavailable, which can lead to unintended operations like running a red light.
Innovation Solution
The implementation of a dual-view traffic light detection system, where the vehicle uses both front view cameras and independent side view sensors (including cameras, LiDAR, and Radar) to cross-check traffic light states, ensuring accurate and reliable detection even if one system fails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single front view traffic light detection system is used, then the device complexity is low, but the reliability of traffic light detection deteriorates when the system malfunctions or is unavailable
Solution Approach 1:
The traffic light detection system is segmented into multiple independent detection modules: front view TLD system, side view TLD system, and cross traffic detection system. Each module operates independently to detect traffic light states from different perspectives, ensuring that failure of one module does not compromise overall system reliability.
Solution Approach 2:
The system implements redundant detection capabilities in advance by deploying both front view and side view TLD systems. When the primary front view system malfunctions, the side view system is already in place to provide backup detection, cushioning against the failure impact before it affects vehicle operation.
2Reliability
If front view TLD system result is used without cross-checking, then the ease of operation is high, but the safety deteriorates due to potential unintended operations like running red light
Solution Approach 1:
The system implements a feedback mechanism where side view TLD results and cross traffic detection results are used to verify and cross-check the front view TLD results. This feedback loop ensures detection accuracy by comparing multiple independent observations before finalizing the traffic light state determination.
Solution Approach 2:
The system performs preliminary cross-checking operations by comparing side view TLD results with front view TLD results before making final driving decisions. This preliminary verification action prevents unintended operations by ensuring detection accuracy is confirmed through multiple independent detection paths.
3Reliability
If side view sensors are added for cross-checking, then the reliability of detection improves, but the device complexity increases
Solution Approach 1:
The side view sensors are designed with multi-functionality, serving both as cross traffic detection devices and as traffic light detection devices. This universal design allows the same sensor hardware to perform multiple detection functions, reducing the need for additional dedicated components and mitigating the increase in device complexity.
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
This approach enhances the reliability of traffic light detection by providing comprehensive, consistent, and accurate information, preventing unintended vehicle operations and ensuring safer decision-making.
Implementation Method 1
side view sensors (including cameras, LiDAR, and Radar)
Implementation Method 2
side view sensors (including cameras, LiDAR, and Radar)
Data Source
AI summary
Provided are methods for managing traffic light detections, which can include: deriving a first state of a traffic light at an intersection a vehicle is approaching, according to first detection data acquired by a first traffic light detection (TLD) system; deriving a second state of the traffic light at the intersection, according to second detection data acquired by a second TLD system that is independent from the first TLD system; determining traffic light information at the intersection based on at least one of (i) the first state or (ii) a result of checking whether the first state is same as the second state; and causing the vehicle to operate in accordance with the determined traffic light information at the intersection. Systems and computer program products are also provided.