Object Identification System with Behavior-Based Anomaly Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current object identification systems on mobile work machines often misidentify objects due to confusion among multiple objects in close proximity, leading to potentially dangerous consequences, as they may incorrectly recognize objects based on recognition criteria, such as identifying a plastic bag as a human or an armadillo as a mound of dirt, resulting in inappropriate vehicle responses.
Innovation Solution
An object identification system that receives both object detection and environmental sensor signals, analyzes object behavior to determine consistency with the environment, and invokes a secondary identification system when anomalies are detected, generating control signals to adjust the vehicle's operation or alert the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single object identification system is used, then the device complexity is low, but the measurement precision of object identification deteriorates
Solution Approach 1:
The object identification system is divided into a primary identification system and a secondary identification system. The primary system performs initial object identification using recognition criteria, while the secondary system performs verification identification when anomalies are detected. This segmentation allows the system to maintain high accuracy without requiring both systems to operate continuously, thus managing complexity effectively.
Solution Approach 2:
The primary object identification system performs preliminary identification of objects before final confirmation. This preliminary action filters out obvious cases that don't require further verification, and only triggers the secondary identification system when anomalies are detected through behavior analysis, optimizing the balance between accuracy and complexity.
2Reliability
If object identification is performed without behavior analysis, then the productivity is high, but the reliability of object identification deteriorates
Solution Approach 1:
The system implements feedback through behavior analysis that monitors detected objects for consistency with environmental conditions and expected behavior patterns. When anomalies are detected in object behavior, the system triggers secondary identification to verify the initial classification. This feedback mechanism improves reliability without requiring continuous dual-system operation, thus maintaining productivity.
Solution Approach 2:
Instead of applying full verification to all detected objects, the system applies partial verification only to cases where behavior analysis indicates potential misidentification. This selective application of the secondary identification system maintains high processing speed for clear cases while ensuring reliability for ambiguous cases.
3Measurement precision
If only recognition criteria are used for object identification, then the ease of operation is high, but the measurement precision deteriorates due to misidentification
Solution Approach 1:
Object behavior analysis serves as an intermediary between the primary recognition system and the secondary verification system. This intermediary layer analyzes detected objects for behavioral consistency with environmental conditions, triggering secondary identification only when anomalies are detected. This approach improves recognition accuracy without significantly complicating system operation, as the behavior analysis automatically filters cases requiring verification.
Data Source
AI summary
An object identification system on a mobile work machine receives an object detection sensor signal from an object detection sensor, along with an environmental sensor signal from an environmental sensor. An object identification system generates a first object identification based on the object detection sensor signal and the environmental sensor signal. Object behavior is analyzed to determine whether the object behavior is consistent with the object identification, given the environment. If an anomaly is detected, meaning that the object behavior is not consistent with the object identification, given the environment, then a secondary object identification system is invoked to perform another object identification based on the object detection sensor signal and the environmental sensor signal. A control signal generator can generate control signals to control a controllable subsystem of the mobile work machine based on the object identification or the secondary object identification.