Radar Detection Prioritization via Downstream Feedback
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Solution Overview
Problem
Radar buffer saturation in vehicles leads to important detections being delayed or missed, as the buffer fills with unimportant data, causing unsafe driving conditions and decreased safety due to the uninfluenced storage of detections.
Innovation Solution
A method and system for radar detection prioritization based on downstream feedback, where radar detections are prioritized and stored in a detection buffer with an indication of priority, filtering out less important detections and expediting the processing of relevant ones, using feedback from downstream functions to determine the relevance and location of detections within the travel corridor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar detections are stored in a buffer without prioritization, then all detections are retained for downstream processing, but the buffer becomes saturated with unimportant detections causing important detections to be delayed or missed
Solution Approach 1:
The system performs preliminary prioritization of radar detections before they are stored in the buffer. By evaluating the importance of each detection in advance and assigning priorities, the system ensures that important detections are positioned to be processed first when buffer space is limited, preventing delays and missed detections
Solution Approach 2:
The system applies different quality levels to different detections based on their importance. By assigning varying priority levels to detections based on their relevance to downstream functions, the system ensures that critical detections receive preferential treatment in buffer allocation and processing order
2Loss of information
If the buffer is filled with all radar detections, then comprehensive data is available for processing, but computational load increases and processing efficiency decreases
Solution Approach 1:
The system extracts only the important detections from the complete set of radar detections by applying prioritization criteria. By filtering out low-priority detections before buffer storage, the system maintains essential information while reducing the overall data volume that requires processing
Solution Approach 2:
The system changes the parameter of detection importance by assigning priority values to different detections. This parameter transformation allows the system to differentiate between important and unimportant detections, enabling selective retention and processing based on priority levels
Data Source
AI summary
Methods and systems are described that enable radar detection prioritization based on downstream feedback. As a vehicle is traveling in a travel corridor, radar detections are received by a processor and feedback related to a downstream function is received from another processor that is executing the downstream function. For the radar detections that are determined to be within the travel corridor, respective priorities are assigned based on locations of the radar detections and the feedback related to the downstream function. The radar detections with the assigned priorities are then stored in a detection buffer along with indications of their respective assigned priorities. In this way, the detection buffer may be optimized for the downstream function by filtering out certain detections and prioritizing others. Consequently, computational loads on the downstream function are reduced while ensuring that important detections are received by the downstream function early.