Traffic Guidance Sensor Validation With Reference Object Testing
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Solution Overview
Problem
Existing infrastructure-based traffic control systems lack the ability to demonstrate effectiveness in complex traffic situations, limiting their use in autonomous vehicles due to accuracy and reliability issues.
Innovation Solution
A method involving a mobile test object with multiple traffic monitoring sensors and a reference sensor to compare sensor data, ensuring accurate object detection and processing time, enabling real-time verification of the infrastructure-based traffic control system's functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If infrastructure-based traffic control systems use onboard systems only for information gathering, then the system complexity is reduced, but the measurement precision and reliability of traffic situation detection deteriorate due to physical limitations such as restricted visibility and limited computing capacity
Solution Approach 1:
The system divides the detection function into two segments: infrastructure-based sensors (roadside) handle complex traffic situation monitoring with high measurement precision, while onboard systems in autonomous vehicles handle basic information reception and processing. This segmentation allows each component to operate within its optimal capability range, resolving the contradiction between system complexity and detection accuracy.
2Reliability
If infrastructure-based control technology is used for autonomous vehicles, then the reliability of traffic control is improved, but the device complexity increases due to the need for multiple sensors and data comparison systems
Solution Approach 1:
A data comparison module acts as an intermediary between the infrastructure-based sensors and the autonomous vehicle systems. This intermediary receives data from multiple infrastructure sensors, performs consistency checks and validation, and outputs verified information to autonomous vehicles. The intermediary handles the complexity of multi-sensor integration and validation, allowing the overall system to achieve high reliability without burdening individual vehicle systems with complex sensor arrays.
3Measurement precision
If multiple traffic monitoring sensors are deployed to improve detection accuracy, then the measurement precision is improved, but the loss of time for data processing and verification increases
Solution Approach 1:
The system performs preliminary data validation and consistency checks at the infrastructure level before transmitting information to autonomous vehicles. The data comparison module pre-processes sensor data from multiple sources, verifying consistency and filtering invalid information in advance. This preliminary action ensures that only verified, high-quality data is transmitted to vehicles, maintaining measurement precision while minimizing the time loss during actual autonomous driving operations.
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
Ensures reliable data generation for safety-critical applications, allowing autonomous vehicles to safely navigate complex traffic scenarios by providing accurate sensor data for driving strategy planning.
Implementation Method 1
The reference sensor preferably comprises a lidar sensor, which can acquire spatially and temporally high-resolution reference sensor data from a traffic scenario.
Implementation Method 2
light-based sensors, such as optical sensors (e.g., cameras, lidar systems, or infrared sensors)
Implementation Method 3
The at least one traffic monitoring sensor, preferably two traffic monitoring sensors, can, for example, comprise one or more radar sensors.
Data Source
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AI summary
The invention relates to a method for testing the efficacy of an infrastructure-supported traffic guidance device (10a) having at least one traffic monitoring sensor (S1, S2). In the method, a mobile test object (OBJ, OBJ1, OBJ2, OBJ3, OBJ4) is introduced into a monitoring region (10b) of the infrastructure-supported traffic guidance device (10a). Sensor data (SD) from the mobile test object (OBJ, OBJ1, OBJ2, OBJ3, OBJ4) is captured by the at least one traffic monitoring sensor (S1, S2) of the infrastructure-supported traffic guidance device (10a). At the same time, reference sensor data (RSD) from the test object (OBJ, OBJ1, OBJ2, OBJ3, OBJ4) is sensorially detected by means of at least one stationary reference sensor (RSK). By comparing the sensor data (SD) of the infrastructure-supported traffic guidance device (10a) and the reference sensor data (RSD) of the reference sensor (RSK), an efficacy of the infrastructure-supported traffic guidance device (10a) is finally determined or tested. The invention also relates to an infrastructure-supported traffic guidance device (10a). An autonomous transport system (10, 40) is also described.