Vehicle Target Detection Using Previous Scan Feedback
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Solution Overview
Problem
The downsizing of radar sensors has led to signal quality deterioration, resulting in non-sensing and erroneous target detection in signal processing systems, which existing technologies have not adequately addressed.
Innovation Solution
A target detection apparatus and vehicle control apparatus that utilize an image sensor, processor, and controller to generate objects based on signal information, determine the presence of control targets, and feed back information from previous scans to improve target detection even in low signal-to-noise ratio conditions, using algorithms like CFAR to extract frequency peak information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If radar sensor size is reduced for downsizing and cost reduction, then device complexity and cost decrease, but signal quality deteriorates leading to non-sensing and erroneous target detection
Solution Approach 1:
The patent implements feedback by determining whether a control target exists in the current scan based on object detection results, and if not detected, feeding back information from previous scans to generate updated objects. This closed-loop feedback mechanism allows the system to maintain target detection reliability despite signal quality deterioration from radar downsizing, by continuously refining target information across multiple scan cycles.
Solution Approach 2:
The patent applies preliminary action by generating objects from previous scan information before current scan processing is complete. When a control target is not detected in the current scan, the system proactively creates target objects based on historical data, enabling continuous tracking without waiting for next scan cycle, thus maintaining detection reliability with smaller radar sensors.
2Reliability
If feedback from previous scans is used to generate objects, then target detection reliability improves in low SNR conditions, but processing time and computational load increase
Solution Approach 1:
The patent applies partial action by selectively generating objects from previous scan information only when control targets are not detected in the current scan. Instead of processing all possible targets in every scan, the system performs feedback-based object generation conditionally, reducing unnecessary computational load while maintaining detection reliability when needed.
Solution Approach 2:
The system uses self-service by automatically determining whether feedback processing is needed based on current scan results, and autonomously generating objects from previous information when required. This self-regulating mechanism optimizes processing time by avoiding redundant feedback operations while ensuring reliability is maintained through targeted use of historical data.
Data Source
AI summary
Embodiments disclosed herein relate to a target detection apparatus and method, and a vehicle control apparatus and method. A vehicle control apparatus includes: an image sensor operable to be disposed at a vehicle so as to have a field of view of exterior of the vehicle, the image sensor configured to capture image data; a processor configured to process the image data captured by the image sensor; and a controller configured to select a control target responsive at least in part to processing by the processor of the image data.