Automotive Radar SAR Mapping for 3D Localization
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Solution Overview
Problem
Conventional radar sensors lack the high resolution necessary for effective three-dimensional mapping of driving environments, and are unreliable in adverse weather conditions.
Innovation Solution
Employing synthetic aperture radar (SAR) techniques with a vehicle-mounted radar sensor to generate high-resolution radar data, which is then used to compute three-dimensional positions of objects in the driving environment and update a three-dimensional map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar sensors are used for three-dimensional mapping, then device complexity is reduced, but measurement precision is insufficient
Solution Approach 1:
The system segments the radar measurement process into multiple temporal snapshots taken as the vehicle moves through the environment. Each snapshot captures a portion of the scene at a different position, and these segmented measurements are later synthesized through SAR processing to achieve high-resolution three-dimensional mapping without requiring a single complex high-resolution sensor
Solution Approach 2:
The system transitions from conventional two-dimensional radar cross-section measurements to three-dimensional spatial mapping by exploiting the temporal dimension. As the vehicle moves through space, radar measurements taken at different positions and times are combined to reconstruct three-dimensional positions of objects, effectively using the fourth dimension (time/motion) to achieve spatial resolution
2Measurement precision
If lidar sensors are used for three-dimensional mapping, then measurement precision is improved, but cost increases
Solution Approach 1:
The system creates a synthetic copy of the high-resolution mapping capability normally provided by expensive lidar sensors. By using multiple conventional radar measurements taken at different positions and synthesizing them through SAR processing, the system produces a virtual replica of what a high-resolution sensor would capture, achieving similar mapping precision at lower cost
Solution Approach 2:
The system changes the operational parameters of conventional radar sensors by utilizing their motion through space and time. Instead of using static radar measurements, the system processes radar data collected while the vehicle moves, transforming the radar's range and velocity measurements into precise three-dimensional spatial information through mathematical synthesis
3Reliability
If conventional radar sensors are used in adverse weather conditions, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The system replaces optical-based sensing (lidar, cameras) that are sensitive to weather conditions with radar-based sensing. Radar waves, being electromagnetic waves at lower frequencies, penetrate adverse weather conditions such as fog, rain, and snow more effectively. The SAR processing synthesizes these radar measurements into reliable three-dimensional maps even when optical sensors would fail
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
Enables the creation of accurate three-dimensional maps of driving environments, improving the navigation capabilities of autonomous vehicles by providing precise spatial information, even in adverse weather conditions.
Implementation Method 1
a radar antenna that emits a radar signal into the driving environment of the vehicle as the vehicle is moving through the driving environment. The radar sensor receives reflections of the radar signal, called radar returns, from a point on a surface of an object in the driving environment
Implementation Method 2
The hardware logic component is configured to employ SAR techniques to compute the azimuth coordinate of the point
Implementation Method 3
The hardware logic component can determine a range to the point and/or a velocity of the point relative to the radar sensor based upon the radar data
Data Source
AI summary
A vehicle (AV) includes a radar sensor and a hardware logic component. The radar sensor receives a radar return from a driving environment of the vehicle and outputs radar data that is indicative of the return to the hardware logic component. The hardware logic component further receives data indicative of a velocity of the vehicle from a sensor mounted on the vehicle. The hardware logic component is configured to employ synthetic aperture radar (SAR) techniques to compute a three-dimensional position of a point on a surface of an object in the driving environment of the vehicle based upon the radar data and the velocity of the vehicle.