Radar Detection System for New Stationary Objects
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Solution Overview
Problem
Conventional road detection technologies, such as inductive loop detectors, wireless magnetometers, cameras, and radars, face limitations in detecting newly-appearing stationary objects due to factors like weather conditions, limited field of view, and difficulty in distinguishing new from existing stationary objects.
Innovation Solution
A detection system comprising a transmitter, receiver, and processing circuit that transmits a detection signal with a predetermined antenna pattern, processes reflected signals to determine object presence in sub-areas, and uses initialization and normal operation phases to accumulate count values to identify new stationary objects by comparing current and initial counts with thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radar systems are used to detect objects, then the system can operate in all weather conditions and is cheaper to manage, but the field of view is limited and only objects in line-of-sight can be detected
Solution Approach 1:
The detection area is divided into multiple sub-areas, and the radar beam is scanned across these sub-areas sequentially. This segmentation allows the system to cover a wider effective area by combining multiple limited field-of-view measurements, resolving the contradiction between limited radar field of view and the need for broader coverage.
2Speed
If traditional radar systems track moving objects, then motion detection is effective, but newly-appearing stationary objects cannot be distinguished from existing stationary objects
Solution Approach 1:
The system performs an initialization phase before normal operation, during which it scans and records all stationary objects in the detection area to create a baseline database. This preliminary action enables the system to later distinguish newly-appearing stationary objects by comparing current detections against the established baseline, resolving the inability to detect new stationary objects.
Solution Approach 2:
The system continuously compares current detection results with the initialization data and maintains a running count of detected objects in each sub-area. When the count exceeds a threshold, the system identifies a newly-appearing object. This feedback mechanism enables precise detection of stationary objects that were previously indistinguishable from the background.
3Measurement precision
If the detection area is divided into multiple sub-areas for detailed monitoring, then new stationary objects can be detected, but the complexity of the detection process increases
Solution Approach 1:
The detection area is divided into multiple sub-areas to enable precise localization and counting of objects in specific regions. While this segmentation improves detection precision, the patent manages the associated complexity through automated processing circuits that systematically scan and compare each sub-area against initialization data, transforming what would be manual complexity into automated routine processing.
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
Effectively records environmental data to detect new stationary objects and distinguish them from existing ones, enhancing the capability of traditional radar systems in monitoring highway conditions and improving road safety.
Implementation Method 1
controlling the transmitter to transmit a detection signal toward a detection area with a predetermined antenna pattern
Implementation Method 2
controlling the receiver to receive a plurality of reflected signals
Data Source
AI summary
A detection system and a detection method are provided. The detection method includes configuring a processing circuit to perform an initialization phase, which includes: executing a detection process to respectively accumulate numbers of times that objects are detected to be present in sub-areas, so as to generate initial count values; and configuring the processing circuit to perform a normal operation phase, which includes: executing the detection process to respectively accumulate numbers of times that the objects are detected to be present in the sub-areas, so as to generate current count values corresponding to the sub-areas; and comparing the current count value with the initial count value in a current sub-area of the sub-areas. In response to the current count value being greater than the initial count value plus a first count threshold, a new stationary object is determined to be present in the current sub-area.