Visual-Radar Traffic Warning for Confidence-Gated Object Detection
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Solution Overview
Problem
Traffic accidents often occur due to riders on bicycles or similar vehicles failing to notice traffic signs or obstacles due to fatigue or distraction, leading to inadequate driving responses.
Innovation Solution
A traffic warning system integrating a visual sensor and a radar sensor, with a processor to analyze data from both, determining object position and speed only when both sensors' confidence levels exceed a preset threshold, thereby enhancing detection accuracy and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If both visual sensor and radar sensor are continuously operated to ensure accurate object detection, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system operates the visual sensor and radar sensor in periodic intervals rather than continuously. The processor controls the sensors to activate at specific periods based on detection needs, maintaining measurement precision while significantly reducing overall power consumption during operation.
Solution Approach 2:
The system dynamically adjusts sensor operation based on real-time conditions. The processor determines when each sensor should be activated based on environmental factors, object detection requirements, and power availability, optimizing the balance between detection accuracy and energy consumption.
2Use of energy by moving object
If only one sensor is used to reduce power consumption, then use of energy is reduced, but measurement precision deteriorates
Solution Approach 1:
The system merges the capabilities of visual sensors and radar sensors into a unified detection system. By combining the optical detection strengths of visual sensors with the electromagnetic wave detection strengths of radar sensors, the system achieves comprehensive object detection accuracy that neither sensor could achieve alone, while managing power consumption through coordinated operation.
Solution Approach 2:
The processor acts as an intermediary that coordinates between the visual sensor and radar sensor. It determines when each sensor should be activated based on environmental conditions, object types, and detection requirements, ensuring that the complementary strengths of both sensors are utilized to maintain high detection accuracy while optimizing power consumption.
3Reliability
If sensors operate in all weather conditions to ensure continuous detection, then reliability is improved, but use of energy increases
Solution Approach 1:
The system dynamically adapts sensor operation to weather conditions. The processor monitors environmental factors and adjusts which sensors are activated based on conditions such as rain, fog, or darkness, ensuring reliable detection when needed while conserving energy during favorable conditions or when one sensor type is insufficient.
Solution Approach 2:
The system changes operational parameters of the sensors based on environmental conditions. The processor adjusts detection thresholds, sensor activation timing, and data fusion parameters according to weather conditions, maintaining detection reliability across varying environments while optimizing power consumption by adapting to the specific challenges of each condition.
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
The system provides timely and accurate warnings, improving safety by reducing power consumption and minimizing blind spots, while adapting to different environmental conditions.
Implementation Method 1
a visual sensor (110) configured to detect a visual sensing data of each of at least one object (10)
Implementation Method 2
a radar sensor (120) configured to detect a radar sensing data of each of the at least one object (10)
Data Source
AI summary
A traffic warning system includes a visual sensor, a radar sensor and a processor. The visual sensor is configured to detect a visual sensing data of each of at least one object. The radar sensor is configured to detect a radar sensing data of each of the at least one object. The processor is configured to obtain a radar confidence level of the radar sensing data by analyzing the radar sensing data; obtain a visual confidence level of the visual sensing data by analyzing the visual sensing data; and if the radar confidence level and the visual confidence level both are greater than a preset value, obtain a position and a speed of the at least one object by analyzing the visual sensing data and the radar sensing data.