Vehicle Radar Storage with Pre-Processing for Bandwidth Reduction
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Solution Overview
Problem
As autonomous driving technology advances, there is a need for high-bandwidth communication technologies to process the increasing amount of data from various sensors, such as cameras, LIDAR, and RADAR, to effectively measure and interpret the surrounding environment of a vehicle.
Innovation Solution
A vehicle storage device is designed to receive and process data from RADAR sensors, which includes a radar pre-processor that performs pre-processing operations on the raw data, such as distance FFT operations, to generate point cloud data and other relevant information about objects outside the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-bandwidth sensors are applied to increase data collection capability, then measurement precision and detection capability are improved, but the amount of data to be processed increases, requiring more complex communication technology
Solution Approach 1:
The patent segments the data processing function by introducing a dedicated radar pre-processor that performs initial data processing (FFT operations, target detection) before data is transmitted to the central controller. This divides the overall processing system into distinct functional modules, reducing the communication burden on the central controller while maintaining high detection precision through specialized processing at the sensor level.
2Measurement precision
If all raw sensor data is transmitted to the central controller for processing, then measurement precision is maintained, but communication bandwidth requirements and processing time increase
Solution Approach 1:
The radar pre-processor performs preliminary actions by executing FFT operations, range-Doppler mapping, and target detection on raw radar data before transmission to the central controller. This preliminary processing reduces the data volume and prepares the data in a more useful format, thereby reducing communication bandwidth requirements and accelerating the overall processing timeline while preserving measurement precision.
3Reliability
If raw radar data is stored before processing, then data integrity is preserved, but storage bandwidth and memory requirements increase
Solution Approach 1:
The system extracts and processes only the most critical features from raw radar data using the radar pre-processor (target positions, velocities, ranges through FFT and range-Doppler mapping). By extracting essential information before storage, the system maintains data integrity for critical parameters while significantly reducing the storage bandwidth and memory requirements compared to storing complete raw data sets.
Data Source
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AI summary
A vehicle storage device according to at least one embodiment includes: a first interface configured to transmit a first signal to an object, and to receive first data generated by analog to digital converting a second signal reflected and returned to the object outside a vehicle; a radar pre-processor configured to generate second data by performing a preprocessing operation on the first data; a second interface configured to output the second data; and a non-volatile memory configured to store the first data.