False Alarm Obstacle Detection Using Camera Motion Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current obstacle detection methods using visual sensors in unmanned driving, drone navigation, and intelligent robots suffer from inaccuracies due to noise and errors, leading to false alarm obstacles.
Innovation Solution
A method and apparatus that compare location information of obstacles in consecutive camera views to determine if they align with camera motion information, identifying and eliminating false alarm obstacles by matching or estimating location information based on camera motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual sensors are used for obstacle detection, then the detection capability is improved, but false alarm obstacles occur due to noise and errors
Solution Approach 1:
The system uses feedback by comparing the detected obstacle location in the current frame with the predicted location from the previous frame. The prediction is based on camera motion information, creating a closed-loop verification mechanism that eliminates false alarms while preserving true obstacle detections
Solution Approach 2:
The system performs preliminary action by predicting the obstacle location in advance based on camera motion information before verifying the actual detection. This prediction step is executed beforehand to establish expected coordinates for comparison with actual detection results
2Adaptability or versatility
If obstacle detection is performed in dynamic environments, then the adaptability is improved, but the detection accuracy deteriorates due to camera motion
Solution Approach 1:
The system applies dynamics by making the verification process adaptive to camera motion. Instead of using fixed coordinates, the system dynamically adjusts the expected obstacle coordinates based on real-time camera motion information, allowing accurate detection in moving environments
Solution Approach 2:
The system changes parameters by transforming the verification criterion from static coordinate matching to dynamic coordinate matching. The expected coordinates are recalculated based on camera motion parameters, allowing the system to adapt to different motion states while maintaining detection accuracy
Data Source
AI summary
The embodiment of the present application provides a method and apparatus for detection of false alarm obstacle, and relates to the field of identification and detection technology, in order to improve accuracy for the obstacle detection. The method includes: obtaining a first view at a moment t and a second view at a moment t−1, collected by a camera; determining location information of the same obstacle to be detected in the first view and the second view; determining motion information of the camera from moment t−1 to the moment t; judging whether the location information of the same obstacle to be detected in two views being matched with the motion information of the camera; and if not, judging the obstacle to be detected as a false alarm obstacle. The embodiment of the present application is applied to obstacle detection.