Stationary UWB Sensor for Autonomous Vehicle Traffic Management
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Solution Overview
Problem
Existing traffic management systems struggle to provide reliable and safe traffic management, especially at high speeds and in confined spaces, without compromising data privacy and increasing production costs for autonomous vehicles.
Innovation Solution
A stationary traffic management device equipped with an ultra-wideband sensor based on M-sequence technology, which operates in a frequency range of 100 MHz to 8.5 GHz, allowing for accurate speed recognition, direction determination, and size categorization of moving objects, even in close proximity, without the need for cameras or personal data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensor systems are used in autonomous vehicles, then vehicle recognition and speed detection are possible, but production costs increase and data privacy concerns arise
Solution Approach 1:
The patent extracts the sensor system from individual autonomous vehicles and relocates it to stationary infrastructure elements (roadside units). This allows traffic management functions to be performed by the infrastructure rather than requiring complex sensor systems in each vehicle, thereby reducing device complexity while maintaining reliability.
Solution Approach 2:
The stationary traffic management device performs multiple functions including vehicle recognition, speed detection, and traffic flow monitoring using a single integrated system. This multi-functional approach eliminates the need for separate sensor systems in each vehicle, reducing overall system complexity while maintaining comprehensive traffic management capabilities.
2Reliability
If sensor systems are installed in autonomous vehicles, then traffic management can be performed, but maintenance and supervision become difficult
Solution Approach 1:
The patent removes the sensor system from mobile vehicles and installs it in stationary infrastructure. This extraction allows maintenance and supervision to be performed by traffic authorities at fixed locations, significantly improving ease of repair and supervision compared to maintaining sensor systems across multiple moving vehicles.
3Measurement precision
If cameras and image processing are used for vehicle recognition, then vehicle identification is possible, but data protection reservations and objections increase
Solution Approach 1:
The patent replaces optical camera systems with radar-based detection systems. The radar system detects vehicles through electromagnetic wave reflection, providing vehicle recognition and speed measurement without capturing images or personal data. This substitution maintains measurement precision for traffic management while eliminating data privacy risks associated with camera-based systems.
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
The solution enables reliable and safe traffic management, reduces production costs for autonomous vehicles by decentralizing sensor systems, and maintains high data privacy standards by avoiding the collection of personal data.
Implementation Method 1
at least one sensor configured for sensing at least one item of information and/or at least one parameter of at least one object moving in a field of view of the sensor
Implementation Method 2
The sensor is embodied as an ultra-wideband sensor
Data Source
AI summary
A traffic management device, in particular a stationary traffic management device, preferably for managing at least partially and/or at least time-segment-wise self-driving vehicles, includes one or more sensor modules having one or more sensors that sense one or more items of information and/or one or more parameters of one or more objects moving in a field of view of the sensor(s). The sensor is embodied as an ultra-wideband sensor.