Dynamic Bounding Box Adjustment for Autonomous Driving Safety
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Solution Overview
Problem
Current autonomous driving technologies face challenges in providing a safe driving environment by accurately recognizing and responding to unpredictable driving behaviors of nearby vehicles, such as zigzag patterns, which can lead to accidents.
Innovation Solution
An electronic apparatus equipped with sensors and a processor that generates and adjusts a bounding box around recognized objects to assess risk levels, controlling vehicle operations to maintain a safe distance and avoid potential hazards, using risk information to extend or adjust the bounding box based on the object's type and behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed-size bounding box is used to recognize objects, then the system structure is simple, but it cannot accurately respond to unpredictable driving behaviors such as zigzag patterns
Solution Approach 1:
The bounding box size is dynamically adjusted based on risk information of recognized objects. The system changes the bounding box dimensions in real-time according to the type and behavior of detected objects, allowing the system to adapt to unpredictable driving behaviors while maintaining operational simplicity through automated adjustment rules
Solution Approach 2:
The system modifies the parameters of the bounding box (size, extension ratio) based on risk assessment of detected objects. By changing these parameters dynamically according to object type and behavior patterns, the system improves safety without requiring complex manual intervention
2Reliability
If the bounding box size is increased to cover unpredictable behaviors, then safety is improved, but the false detection rate increases
Solution Approach 1:
The system applies different bounding box extension ratios to different regions based on object type. High-risk objects (e.g., vehicles showing zigzag behavior) receive larger bounding boxes with higher extension ratios, while low-risk objects maintain standard bounding box sizes, thereby improving safety without unnecessarily increasing false detections across all objects
Solution Approach 2:
The bounding box size is dynamically adjusted based on risk information of recognized objects. The system changes the bounding box dimensions in real-time according to the type and behavior of detected objects, allowing the system to adapt to unpredictable driving behaviors while maintaining operational simplicity through automated adjustment rules
3Reliability
If risk information processing is added to adjust bounding boxes, then response to unpredictable behaviors is improved, but computational load increases
Solution Approach 1:
The system modifies the parameters of the bounding box (size, extension ratio) based on risk assessment of detected objects. By changing these parameters dynamically according to object type and behavior patterns, the system improves safety without requiring complex manual intervention
Solution Approach 2:
The system automatically generates risk information and adjusts bounding box parameters without requiring external intervention. The autonomous driving system self-regulates by processing object data, determining risk levels, and modifying bounding boxes accordingly, reducing the need for additional computational resources
Data Source
AI summary
The electronic apparatus includes a sensing unit including at least one sensor, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to identify an object located near the vehicle, by using the at least one sensor, generate risk information of the object, the risk information including a type of the identified object, adjust a size of a bounding box generated to include at least a part of the identified object, based on the risk information of the object, and control a driving operation of the vehicle, based on the adjusted bounding box.