Vehicle Radar Alignment Determination Using Relative Speed Comparison
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Solution Overview
Problem
Existing radar sensor alignment determination methods often result in false positives, leading to unnecessary warnings and potential deactivation of automated functions, especially in environments with few objects, and can take too long to accurately detect misalignment.
Innovation Solution
A control system that receives radar data, determines relative speed of detected objects, and performs a second alignment determination process using low-quality detections to confirm or refute the initial alignment assessment, thereby reducing false positives and ensuring accurate alignment detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar alignment is determined based on a predetermined number of object detections over time, then alignment determination can be made, but false positives occur in environments with few objects leading to unnecessary warnings and potential deactivation of automated functions
Solution Approach 1:
The system changes the parameter used for alignment determination from purely temporal (predetermined time period) to a combination of temporal and spatial (number of detections within time window). By requiring a minimum number of detections (e.g., at least 1 detection) within a sliding time window rather than waiting for a predetermined time period, the system can distinguish between genuine misalignment and temporary lack of object detections in sparse environments, thereby reducing false positives while maintaining detection accuracy
Solution Approach 2:
The system implements feedback by continuously monitoring the number of detections within sliding time windows and adjusting the alignment determination accordingly. When the number of detections falls below the threshold, the system waits for additional detections before concluding misalignment, allowing the system to learn from ongoing detection patterns and avoid premature false positive determinations
2Reliability
If a delay is introduced to avoid false positives by waiting for additional detections, then false positive rate decreases, but the time to detect genuine misalignment increases undesirably
Solution Approach 1:
The system applies dynamics by using a sliding time window that continuously updates as new detections arrive. Instead of a fixed delay period, the window slides forward in time, allowing the system to quickly determine misalignment when objects appear (reducing detection time) while still requiring sufficient detections within each window to avoid false positives (maintaining reliability). This dynamic approach adapts the evaluation criteria to current detection conditions
Solution Approach 2:
The system performs preliminary action by pre-establishing the minimum detection threshold and time window parameters before operation. This allows the system to immediately begin evaluating detections against the predetermined criteria without needing to learn or adjust during operation, enabling rapid misalignment detection while maintaining low false positive rates through the pre-set detection requirements
3Measurement precision
If radar alignment determination uses only high-quality detections, then detection accuracy improves, but processing efficiency decreases and response time increases in environments with few high-quality detections
Solution Approach 1:
The system applies partial action by requiring only a minimum number of detections (e.g., at least 1 detection) within the time window rather than requiring a large number of high-quality detections. This partial requirement allows the system to make alignment determinations more quickly in environments with few objects while still maintaining sufficient accuracy through the sliding window mechanism that continuously validates detection patterns
Data Source
AI summary
Control system (110) for use with a vehicle (200) having a radar sensor (160) where the control system (110) comprises one or more controller (120) and is configured to receive radar data from the radar sensor (160) indicative of one or more detections of objects in an environment of the vehicle (200) and to perform a first alignment determination process to determine alignment of a field of view of the radar sensor (160) and a longitudinal axis of the vehicle (200) based on the received radar data. The control system (110) is also configured to determine a relative speed with respect to the vehicle (200) of each of the one or more detected objects and compare the relative speed of each of the one or more detected objects to an associated speed of the vehicle (200). A second alignment determination process is performed by the control system (110) to determine the alignment of the radar sensor (160) based on the comparison. The one or more detections of objects used for the comparison include at least one detection having an associated quality measurement below a threshold quality, which is only used for the second alignment determination process.