Obstacle Recognition Assistance Device Verification
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Solution Overview
Problem
Current obstacle recognition devices in vehicles have limitations in accurately detecting obstacles, leading to incorrect or missed detections, which can compromise safety during driving.
Innovation Solution
An obstacle recognition assistance system that utilizes a dual recognition process to verify initial detection results, recording learning data for machine learning to improve recognition accuracy, involving a first recognition process by a vehicle-mounted device and a second, more accurate process by an assistance device, which updates recognition control parameters to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single recognition process is used in the obstacle recognition device, then the device complexity is low and processing is fast, but the obstacle recognition accuracy is insufficient with incorrect or missed detections
Solution Approach 1:
The recognition process is divided into two separate recognition processes: a first recognition process executed by the obstacle recognition device and a second recognition process executed by the obstacle recognition assistance device. Each process independently analyzes sensing information to determine obstacle presence, allowing the system to improve accuracy through multiple independent assessments rather than relying on a single recognition process
Solution Approach 2:
The obstacle recognition assistance device acts as an intermediary that receives sensing information from the obstacle recognition device, performs an additional recognition process, and provides verification results. This intermediary component enables enhanced accuracy without requiring the main obstacle recognition device to become more complex
2Measurement precision
If a dual recognition process with verification is implemented, then the obstacle recognition accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The first recognition process serves as a preliminary assessment that quickly determines obstacle presence. Only when the first recognition result is obtained does the system proceed to the second recognition process for verification. This preliminary action approach allows the system to maintain fast initial response while adding verification only when needed
Solution Approach 2:
The system implements a feedback mechanism where the second recognition result is used to verify the first recognition result. When discrepancies are detected between the two recognition processes, the system uses this feedback to correct incorrect detections or identify missed obstacles, thereby improving overall accuracy without requiring continuous dual-processing of all scenarios
Data Source
AI summary
An obstacle recognition assistance device includes: a memory configured to store instructions; and a processor configured to execute the instructions to acquire a first recognition result and sensing information. The first recognition result is a result based on a first recognition process performed using the sensing information acquired by an obstacle sensing device. The first recognition result indicates whether or not an obstacle is present. The processor is further configured to execute the instructions to verify whether the first recognition result is incorrect based on the first recognition result and a second recognition result. The second recognition result is a result based on a second recognition process performed using the sensing information. The second recognition process indicates whether or not the obstacle is present. The processor is further configured to execute the instructions to record a verification result.