Vehicle Ego-Motion Estimation Using Radar Motion Spectrum
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Solution Overview
Problem
Existing ego-motion estimation algorithms using radar detections are complex and inaccurate, especially when few detections are available, due to the need for range-Doppler domain detection and beam-forming FFT processes.
Innovation Solution
A method involving a set of motion spectrum data derived from radar data, where ego-motion information is determined by solving a motion equation system using precalculated values for radial velocity and angular position, independent of radar data, allowing for accurate estimation without relying on complex detection processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If range-Doppler domain detection and beam-forming FFT processes are used to estimate ego-motion, then angular information can be obtained, but the process becomes highly complex and inaccurate when few detections are available
Solution Approach 1:
The patent extracts only the necessary information (radial velocity and angle of arrival) directly from the motion spectrum data without performing complex beam-forming FFT processes. By taking out only the essential parameters needed for ego-motion estimation and discarding the complex intermediate processing steps, the solution achieves accurate results with simpler operations.
Solution Approach 2:
The motion spectrum data is pre-calculated and prepared in advance, containing all necessary radial velocity and angle of arrival information. This preliminary preparation eliminates the need for complex real-time detection processes during ego-motion estimation, allowing direct use of pre-processed data for accurate and efficient calculation.
2Reliability
If complex detection processes are used to obtain angular information, then ego-motion parameters can be estimated, but the estimation cannot be accurately performed when only a few detections are available
Solution Approach 1:
The patent replaces complex mechanical detection processes (beam-forming FFT) with a mathematical approach using pre-calculated motion spectrum data. By substituting the complex detection mechanism with direct mathematical computation on pre-prepared data, the system achieves reliable ego-motion estimation even with limited detection data available.
3Loss of information
If beam-forming FFT is performed on beam vectors to obtain angular information, then three-dimensional range-Doppler-angle domain data can be achieved, but the process becomes highly complex
Solution Approach 1:
Angular information is pre-calculated and stored in the motion spectrum data before the ego-motion estimation process. By performing the angle calculation in advance and storing it in the pre-computed motion spectrum, the system avoids complex real-time beam-forming operations while maintaining complete angular information availability.
Solution Approach 2:
The patent extracts only the essential angular information (angle of arrival) from the motion spectrum data without performing complete beam-forming FFT processing. By taking out only the necessary angular parameters directly from pre-calculated data, the system achieves three-dimensional range-Doppler-angle information with reduced processing 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 simplifies the estimation of ego-motion information by reducing complexity and improving accuracy, regardless of the number of radar detections, enhancing the reliability of Advanced Driving Assistant Systems and autonomous driving applications.
Implementation Method 1
radar detections are used to estimate the ego-motion of a travelling vehicle. The radar detections in this article are determined by first generating range-Doppler response maps
Data Source
AI summary
A method of determining ego-motion information of a vehicle comprising a radar sensor having a plurality of antenna elements, comprising: acquiring motion spectrum comprising a plurality of data elements, each calculated for a respective one of a plurality of Doppler bin indices and for a respective one of a plurality of spatial bin indices, each spatial bin index indicating a respective angle-of-arrival of a radar return signal at the radar sensor; and determining the ego-motion information by solving a motion equation system comprising equations of motion generated using the motion spectrum data and each relating a respective value indicating a radial velocity, a respective value indicating an angular displacement, and a variable indicating a velocity of the vehicle.